{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distortion of Eiger2 CdTe detector from ID11\n",
    "\n",
    "The detector's distortion is characterized by a Tungsten plate with a grid pattern of holes provided by Gavin Vaughan. The calibration experiment has been performed by Marie Ruat with a conventional source.\n",
    "Those files are not available for share, please get in contact with Marie for the experimental details.\n",
    "\n",
    "## Preprocessing\n",
    "\n",
    "Data were acquired with and without the grid on from of the detector. 100 frames were recorded in each case withthe same exposure time. \n",
    "The first step is to filter out outliers using a pixel-wise median filter on the stack.\n",
    "\n",
    "*Note:* a faily recent version of FabIO is needed to read those HDF5 files produced by LImA. This notebook uses features available only in version 0.21 of pyFAI (development version for now)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib nbagg\n",
    "import time\n",
    "import os\n",
    "start_time = time.perf_counter()\n",
    "#load many libraries ...\n",
    "from matplotlib.pyplot import subplots\n",
    "import matplotlib.colors as colors\n",
    "import numpy\n",
    "import pyFAI\n",
    "from collections import namedtuple\n",
    "from scipy.ndimage import convolve, binary_dilation, label, distance_transform_edt\n",
    "from scipy.spatial import distance_matrix\n",
    "from pyFAI.ext.watershed import InverseWatershed\n",
    "from pyFAI.ext.bilinear import Bilinear\n",
    "from pyFAI.utils.grid import Kabsch #Needs pyFAI 0.21!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-02-26 13:30:55--  http://www.silx.org/pub/pyFAI/detector_calibration/Eiger2-ID11/W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5\n",
      "Résolution de www.silx.org (www.silx.org)… 195.154.237.27\n",
      "Connexion à www.silx.org (www.silx.org)|195.154.237.27|:80… connecté.\n",
      "requête HTTP transmise, en attente de la réponse… 200 OK\n",
      "Taille : 758913619 (724M)\n",
      "Sauvegarde en : « W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5 »\n",
      "\n",
      "W200um_40kVp_5mA_T4 100%[===================>] 723,76M  56,3MB/s    ds 13s     \n",
      "\n",
      "2021-02-26 13:31:08 (55,2 MB/s) — « W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5 » sauvegardé [758913619/758913619]\n",
      "\n",
      "--2021-02-26 13:31:08--  http://www.silx.org/pub/pyFAI/detector_calibration/Eiger2-ID11/W200um_40kVp_5mA_T4_E8_GRID_noretrigger_0000.h5\n",
      "Résolution de www.silx.org (www.silx.org)… 195.154.237.27\n",
      "Connexion à www.silx.org (www.silx.org)|195.154.237.27|:80… connecté.\n",
      "requête HTTP transmise, en attente de la réponse… 200 OK\n",
      "Taille : 484110560 (462M)\n",
      "Sauvegarde en : « W200um_40kVp_5mA_T4_E8_GRID_noretrigger_0000.h5 »\n",
      "\n",
      "W200um_40kVp_5mA_T4 100%[===================>] 461,68M  38,5MB/s    ds 9,8s    \n",
      "\n",
      "2021-02-26 13:31:18 (47,1 MB/s) — « W200um_40kVp_5mA_T4_E8_GRID_noretrigger_0000.h5 » sauvegardé [484110560/484110560]\n",
      "\n",
      "INFO:numexpr.utils:Note: NumExpr detected 16 cores but \"NUMEXPR_MAX_THREADS\" not set, so enforcing safe limit of 8.\n",
      "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n",
      "Median reduction finished                                                                                      \n",
      "INFO:numexpr.utils:Note: NumExpr detected 16 cores but \"NUMEXPR_MAX_THREADS\" not set, so enforcing safe limit of 8.\n",
      "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n",
      "Median reduction finished                                                                                        \n"
     ]
    }
   ],
   "source": [
    "#Get the grid/flat data and filter them\n",
    "!wget http://www.silx.org/pub/pyFAI/detector_calibration/Eiger2-ID11/W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5\n",
    "!wget http://www.silx.org/pub/pyFAI/detector_calibration/Eiger2-ID11/W200um_40kVp_5mA_T4_E8_GRID_noretrigger_0000.h5    \n",
    "!pyFAI-average -m median W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5 -F numpy -o flat.npy\n",
    "!pyFAI-average -m median W200um_40kVp_5mA_T4_E8_GRID_noretrigger_0000.h5 -F numpy -o grid.npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using pyFAI verison:  0.21.0-dev0\n"
     ]
    }
   ],
   "source": [
    "# A couple of constants and compound dtypes ...\n",
    "dt = numpy.dtype([('y', numpy.float64),\n",
    "                  ('x', numpy.float64),\n",
    "                  ('i', numpy.int64),\n",
    "                 ])\n",
    "mpl = {\"cmap\":\"viridis\", \n",
    "       \"interpolation\":\"nearest\"}\n",
    "print(\"Using pyFAI verison: \", pyFAI.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
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       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
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       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
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       "            if (entry.contentBoxSize) {\n",
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       "                    // Chrome 84 implements new version of spec.\n",
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       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flat = numpy.load(\"flat.npy\")\n",
    "grid = numpy.load(\"grid.npy\")\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "\n",
    "ax.imshow(grid/flat, **mpl)\n",
    "ax.set_title(\"Raw grid (normalized)\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the right mask\n",
    "\n",
    "As we want to measure the position of the grid with a sub-pixel precision, it is of crutial important to discard all pixels wich have been interpolated.\n",
    "\n",
    "The Eiger2 4M is built of 8 modules 500 kpixels, each of them consists of the assemble of 8 chips of 256x256 pixel each. Some pixels are systematically masked out as they are known to be noisy. Some pixels are also missing at the junction of the sub-modules. Finally the CdTe sensors is made of single crystals of the semi-conductor which cover 512x512 pixels. Hence one sensor covers half a module or 4 chips.\n",
    "\n",
    "This is best demonstrated by the pixel-wise standard deviation along a stack of images like the one acquired for the flatfield.\n",
    "\n",
    "A Poissonian detector should have a variance equal to the average signal. Thus plotting the standard deviation squared over the median highlights:\n",
    " * Noisy pixels which should be discarded for quantitative analysis std²>>median\n",
    " * Interpolated pixels which have only half/quater of the expected noise (std²<<median).\n",
    " \n",
    "The detector has also an internal map of invalid pixel which are set to the maximum value of the range."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:numexpr.utils:Note: NumExpr detected 16 cores but \"NUMEXPR_MAX_THREADS\" not set, so enforcing safe limit of 8.\n",
      "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n",
      "Std reduction finished                                                                                         \n"
     ]
    }
   ],
   "source": [
    "!pyFAI-average -m std W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5 -F numpy -o flat_std.npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "std = numpy.load(\"flat_std.npy\")\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow((std**2/flat).clip(0,2), **mpl)\n",
    "ax.set_title(\"Poissonianness map of the detctor (std²/median ~ 1)\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "ax.hist((std**2/flat).ravel(), 100, range=(0,2))\n",
    "ax.set_title(\"Histogram of std²/median values\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This test of Poissonian-ness is not enough to discriminate between interpolated pixels and non interpolated ones.\n",
    "One needs to build the mask by other methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is the default detector as definied in pyFAI according to the specification provided by Dectris:\n",
    "eiger2 = pyFAI.detector_factory(\"Eiger2CdTe_4M\")\n",
    "width = eiger2.shape[1]\n",
    "module_size = eiger2.MODULE_SIZE\n",
    "module_gap = eiger2.MODULE_GAP\n",
    "submodule_size = (256,256)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculate the default mask\n",
    "mask = eiger2.calc_mask()\n",
    "# Mask out the interpolated pixels along X\n",
    "for j in [256, 772]:\n",
    "    for i in range(j, eiger2.max_shape[1],\n",
    "                   eiger2.module_size[1] + eiger2.MODULE_GAP[1]):\n",
    "        mask[:,i-2:i + 2] = 1\n",
    "# Mask out the interpolated pixels along Y\n",
    "for i in range(256, eiger2.max_shape[0],\n",
    "               eiger2.module_size[0] + eiger2.MODULE_GAP[0]):\n",
    "    mask[i-2:i + 2, :] = 1\n",
    "\n",
    "# mask out the border pixels:\n",
    "mask[0] = 1\n",
    "mask[-1] = 1\n",
    "mask[:, 0] = 1\n",
    "mask[:, -1] = 1\n",
    "    \n",
    "# Finally mask out invalid/miss-behaving pixels known from the detector\n",
    "mask[ flat>(flat.max()*0.99) ] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pois = (std**2/flat).clip(0,2)\n",
    "pois[numpy.where(mask)] = numpy.NAN\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow(pois, **mpl)\n",
    "ax.set_title(\"Histogram of std²/median values (masked)\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "normalized = grid/flat\n",
    "normalized[numpy.where(mask)] = numpy.NaN\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow(normalized, **mpl)\n",
    "ax.set_ylim(1100,1400)\n",
    "ax.set_xlim(1000,1300)\n",
    "ax.set_title(\"Zoom on one chip\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see we have between 8 and 16 grid spots per sub-module. This is enough as 3 are needed to localize precisely the position of the chip.\n",
    "\n",
    "## Grid spot position measurement.\n",
    "\n",
    "Let's measure the position of the grid spots precisely. For this we perform a convolution with a kernel which looks like the spot itself. By zooming onto one spot, it is roughly 10 pixels wide, the kernel needs to be of odd size. The fade-out function is tuned to set precisely the spot diameter.\n",
    "\n",
    "The masked values have been set to NaN, this ensures any spot close to a masked region get discarded automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integral of the kernel:  64.79908175810988\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
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       "            if (entry.contentBoxSize) {\n",
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       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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Vj3z4n+Barbg/g+2Ia+AL0iXBdc1EbkKBggRGQ43atVzPa8Q906NhWq24OukU3pPh/6H65qIXAUDhIgMhxu16vs66RRUswVdo7bybXklwXVNRK6CAUJEhsONWvXdyC9Ex/e3QDVbsOnAWb2nQ+C6JiLXwQAhIsPhRq1mzNx8GKrZgqcXJus9FQLXNRG5DgYIERkON2o1I/PydbSIsEA1W3DsPM8LojeuayJyFQwQIjIcbtRqzsivf4BqtuC9DYf0norhcV0TkatggBCR4XCjVnO2HDoP1WxB52mxKOKJCXXFdU1EroIBQkSGw41azcktKLSdmHD3iUt6T8fQuK6JyFUwQIjIcLhRq1n/+n4/VLMFk9Ye0HsqhsZ1TUSuggFCRIbDjVrNij96AarZgo7vb+E5QXTEdU1EroIBQkSGw41azcovLEKH92Kgmi1I5p9h6YbrmohcBQOEiAyHG7WaN27ZPqhmC2ZsOqz3VAyL65qIXAUDhIgMhxu1mrdmXwZUswWPfLJD76kYFtc1EbkKBggRGQ43ajXvYk4uVHPJSQl/u3JD7+kYEtc1EbkKBgjZLFmyBIqi2IaPjw/uuOMO9OjRA1FRUfjtt9/KfExkZCQURWwZXbt2DZGRkYiLi6uhmROJ4Ubt1hjw6U6oZgtW/ZCh91QMyV3X9U8//YThw4cjODgYPj4+CAgIQFhYGGbMmIHff/9d7+k57dSpU1AUBUuWLKnSx0+bNg1r164tc3lcXBwURdHlmGoymdC+fXvNb7cmqKqK8PBwvadhWAwQsrEGyJIlS5CcnIwdO3Zg1apVeO2111CvXj00aNAAsbGxdh+TkZGB5ORkodu5ePEiFEVBZGRkDc6eyHnuulHT28zNh6GaLXh16T69p2JI7riuFy5ciNq1a6N9+/aYM2cO4uLisGXLFkRFRaFFixZ47LHH9J6i06obIAEBAQ43zNnZ2UhOTtblfmeAUFUxQMjGGiApKSll/i89PR3NmjVDnTp1cP78+WrdDgPE3vXr1x1enp+fj4KCAo1nYwzuuFGTwe4Tl6CaLeg0ZQuKi3lWdK2527pOSkqCp6cn+vXrh9zc3DL/n5eXh/Xr1+sws6q5VQGip1sdINevX79ljyUMEH0xQMimogABgO+//x6KouC9996zXeboT7C2bdsGk8mEBg0awNfXF82aNcMTTzyBa9eu2R6Abx7WB4Hjx49j+PDhaN26Nfz8/NC4cWMMGDAAP//8s91tWJ9yXrp0Kd5++20EBQWhTp066N27N44cOVJm7ps2bUKvXr1Qt25d+Pn5ITQ0FFFRUXbXSUlJwcCBA1G/fn34+PigQ4cOWLFihVPfu3fffRedO3dG/fr1UadOHYSFheHzzz8v88Cpqir69++P1atXo0OHDvDx8YHZbLZ9PV9//TVef/11NG7cGB4eHjh8+DAuXLiA0aNHo23btggICEDDhg3Rs2dP7Njx54t9i4uL0bp1a/Tp06fM3HJyclC3bl2MGTPGqa/FCNxtoyaLG/mFCHl7I1SzBacuXtV7Oobjbut6wIABqF27Nn799Venrl9UVIQZM2agTZs28Pb2RsOGDTFs2DBkZNj/SaB107x3715069YNfn5+aNGiBaZPn46iopLz2Fy4cAFeXl6YNGlSmds5fPgwFEXBJ598YrvswIEDePTRR/GXv/wFPj4+uOeee/Dll1/afZyjAAkPD4eqqmVu4+Zjq6PjpslkAlD+n2CtX78eXbt2hZ+fH2677TY8+OCDSEpKcng7Bw8exFNPPYW6deuiUaNGGDFiBLKyssr9Xt/8vSxtzZo18PPzwwsvvGD7JZozx1frHiQmJgYjRozAX//6VyiKghs3bjh1n1llZ2fjjTfeQHBwMLy8vNC4cWOMGzcOV6/aPyYxQPTFACGbygLk6tWr8PT0RO/evW2X3fwgeerUKfj6+uKhhx7CunXrEB8fj++++w7Dhg3D5cuXkZubi82bN0NRFLzwwgtITk5GcnIyfvnlFwBAQkIC3njjDaxatQoJCQlYu3YtHnvsMfj5+dmFhfUBNzg4GM888wyio6OxbNkyNG/eHCEhISgsLLRd9/PPP4eHhwd69OiBpUuXYuvWrZg7d67dhnz79u3w9vbGAw88gBUrVmDz5s0YPny407+tGj58OBYvXozY2FjExsZiypQp8PPzs4s1oOQBLygoCC1btsQXX3yBuLg47N271/b1NGnSBIMGDcKGDRtgsVjw+++/48iRIxg9ejSWL1+O+Ph4WCwWvPDCC6hVq5bdAeeTTz6Bh4cHjh07Znebc+bMgaIoOHToUKVfh1G420ZNJk/OTYRqtuD7FOc2jVRz3GldFxYWwt/fH126dHH6Y1566SUoioJXXnkFmzdvxvz589GwYUM0a9YMFy9etF3PZDLh9ttvR0hICObPn4/Y2FiMGTMGiqLgq6++sl3v8ccfR7NmzcpscCdMmABvb29culRyzpsjR46gTp06aNWqFb7++mtER0fj6aefhqIomDFjhu3jqhMgycnJ8PPzwyOPPGI7blof0x0FyHfffQdFUdCnTx+sW7cOK1asQKdOneDt7Y2dO3eWuZ02bdpg8uTJiI2NxezZs+Hj44MRI0ZU+j2/OUBmz54NT09PTJkyxXaZs8dX6x6kSZMmeOmll7Bp0yasWrUKhYWFTt9n165dQ4cOHfDXv/4Vs2fPxtatW/HJJ5+gXr166NWrl90vBRkg+mKAkE1lAQIAd9xxB9q2bWv7980PkqtWrYKiKNi/f3+5n0PkT7AKCwuRn5+PkJAQjB8/3na59QH3kUcesbu+9Vka6+tSrL/979atW4VP44aGhiIsLKzMnzwNGDAAQUFBZQ5AFSkqKkJBQQHef/993H777WUe8Dw9PXH06FG7j7F+Pd27d6/08xcWFqKgoAC9e/fG448/brv8ypUrqFOnDsaNG2d3/Xbt2qFnz55Oz98I3GmjJpuojWlQzRaYV/2k91QMx53W9fnz56EoCp566imnrm99VuLmZ3r37NkDRVHw9ttv2y4zmUxQFAV79uyxu267du3Qt29f2783bNgARVGwZcsW22WFhYVo3LgxnnzySdtlTz31FHx8fMo8U/Pwww/D39/f9kxCdQIEKP9PsG4OkKKiIjRu3Bh33XWX3bErJycHjRo1wn333VfmdmbOnGn3OceMGQNfX99K//zJGiBFRUV45ZVX4O3tjW+//dbuOs4eX617kOeee87h7Thzn02fPh21atUqs4+x7k02btxou4wBoi8GCNk4EyCNGjWqMEB++eUXeHt7o3Pnzvjyyy9x4sSJMp+jogApKCjAtGnT0LZtW3h5edk93dyvXz/b9awPuPPnz7f7+CNHjkBRFCxfvhwAEBMTY/tTrfIcP34ciqLgww8/REFBgd2YO3cuFEVBWlpauR8PlPzZWe/evVG3bt0yT5OXfs2MqqoICwsr8/HWr6f0U/qlzZs3D2FhYfDx8bH73KGhoXbXGzt2LOrVq2d7qnnbtm1QFAWrV6+ucP5G404bNdlsOXQeqtmCXh/G6T0Vw3GndS0aINbH6r1795b5v7Zt29o9k2IymRAYGFjmek899ZTdY2pBQQECAwPx9NNP2y6Ljo6GoiiIjo62XdaoUaMyvwwDgBUrVkBRFGzatAmAdgGSlpbmMCoAYPTo0ahVqxauXbtmdzs3/+ny/Pnzyxy/HDGZTGjVqpXtz6vi4+Pt/l/k+Grdgzh6XY+z99n999+Pu+++u8xt5eTkwMPDAxMmTLBdlwGiLwYI2dTEn2ABwI4dOzBgwAAEBARAURS0bNkS//73v23/X1GAvPrqq6hVqxbeeustbN68GXv27EFKSgruuece29+7An8+4K5cudLu429+gP/222+hKIrd6yVutmvXLod/X1t6VPTxe/bssX1fVqxYgcTERKSkpGDixIlQFAWnTp2yXVdVVYcHKuvX8/3335f5v48++giKomDUqFGwWCzYvXs3UlJS0K9fvzIHruPHj6NWrVpYsGABgJI/IWjatKndn6SRe23UZPP71Tzb+UD+uJqn93QMxZ3WteifYE2ZMgWKopR5vQcA9O7dG61bt7b9u7wXTjuKgTfffBO+vr64fPkyAGDw4MEICgqye0z19PTECy+8UObz7dy5E4qi2J4R0CpArLf7zTfflLmu9ft05swZu9sp/SdqwJ/7gdLHL0dMJhPq1KkDb29vPPLII8jPz7f7f5Hjq/U2HUWks/dZ69atK7yt559/3nZdBoi+GCBkU1mAWH+bU/pvOys6D0hhYSF2796NZ555BoqiYNmyZQAqDpD69etj+PDhZS5v0qRJlQLEmWdArM+avPXWW0hJSXE4rly5Uu7Hjx8/Hr6+vrhxw/7ka+UFSP/+/ct8jvK+HgAICwtDjx49ylx+//33Ozxw9e/fH3fffTd+/fVXeHp6YurUqeXO3ajcaaMmo14fxkE1WxB7qHrvmEdi3G1dDxw4ELVr13YYFTer7BmQrl272v4tEiDWZxPmzZuHP/74w/bGIaVV9gzI5s2bATgOkJEjRzr8zf7LL7+s6TMg1QmQ9u3bIyYmBv7+/hgwYIDdsVDk+FrRHsTZ+6xr16646667yr2tm4/HDBD9MEDIxpm34a1Xrx4uXLhgu9yZExFmZWVBURS8+eabAEpeq6Aoit1ToVYNGjTAyJEj7S6zWCxQFKVKAZKTk4N69eqhe/fuFf4ta0hIiMMDiDNef/113HbbbXa/+bl+/TqaN29eIwHSsWNHu79xBUpOzFWrVi2HAbJlyxYoioKePXvC29vb4Qkkjc7dNmqymbDyJ6hmCz7YdFjvqRiKu63r0m/Dm5dX9tm0/Px8bNiwAcCfG92xY8faXWfv3r1QFAUTJ060XSYSIADQpUsXdO7cGZ999pnDP1d6+umn4evri8zMTLvL+/fvX+lrQKyvWSj9p055eXm23+SX1qBBAwwZMqTM/By9BqRJkybo0KGD3XHv6tWraNSoEe6//37bZTUVIEDJMy9169ZF79697d5xytnja00EyNSpU+Hv74+TJ09WensMEH0xQMjm5hMR7ty5E6tXr7Y7EeH27dvtPubmAJk3bx4GDx6ML7/8Etu3b8fGjRsxaNAgKErJW+tZqaqKNm3aICYmxu63Es899xx8fHzw8ccfY9u2bZg5cyYaNmyIpk2bVilAgJJ3wVIUBb169cKyZcuwfft2LFy4EC+//LLtOtu3b4ePjw/69OmDpUuX2t6BKyoqCoMGDarw+2Z9ncWgQYOwZcsWLFu2DJ06dUJISEiNBMjkyZPh4eGByZMnY9u2bZg7dy4CAwPRqlUrhwdLoOSFeYqi4Nlnn61w7kblbhs12Xy7+zRUswXPfr5b76kYijuua+uJCP/2t79hzpw5iI+PR2xsLGbOnInWrVvbnYjwpZdegoeHB1577TXExMRgwYIFaNSoEZo1a2Z7xypAPEAWLFgARVHQtGlTuxdwW1nfBevOO+/Et99+i40bN9qe+S/9LISj49PJkyfh5eWFHj16IDo6GqtXr4bJZEKLFi3KBIjJZEKjRo2wYcMGpKSk2EKoonfBeuSRR7B+/Xp8//33+H//7/+V+y5YNREgQMnb7d5+++247777bOHl7PG1JgLk6tWrCAsLQ9OmTfHRRx8hNjYWMTExWLRoEQYPHozdu/98TGKA6IsBQjbWH37r8Pb2RqNGjWAymRAVFWX3zIeVo7cKfPzxx6GqKnx8fHD77bfDZDLZfktltXXrVrsXVVsfBC5fvowXXngBjRo1gr+/P7p164adO3fCZDJVOUAAYOPGjTCZTAgICIC/vz/atWtn9/aIQMmzCkOGDEGjRo3g5eWFwMBA9OrVq8wL3R354osv0KZNG/j4+KBly5aYPn06Fi9eXCMBkpeXh3/9619o0qQJfH190bFjR6xbt67cgyVQcl4SRVHsHmzpT+64UZPJ/l8vQzVbEPY+T0ioJXdd1/v370d4eDiaN28Ob29vBAQEICwsDJMnT7Y7LmZqNqgAACAASURBVFnPA3LnnXfCy8sLf/3rX/Hss8+Wex6Qm5X3mJqdnQ0/Pz8oioJFixY5nOOBAwcwcOBA1KtXD97e3rjnnnvKHIcqOj516NABfn5+aNmyJT777DOHf12wf/9+3H///fD397f7q4DyzgOybt06dOnSBb6+vggICEDv3r2RmJhod52aDhAAOHjwIAIDA9GxY0fb53Xm+FoTAQKURMikSZNs54OpV68e7rrrLowfP77Mm8IwQPTDACFyQ506dcK9996r9zSk5a4bNVncyC9Ey7eioZotyLx8Xe/pGAbXNRG5CgYIkZvIzs5GYmIi3nrrLSiKgrVr1+o9JWlxo3br9f04AarZgi18IbpmuK6JyFUwQIjchPVp+Ntvv92pkzwaGTdqt94b3++HarZg9pajlV+ZagTXNRG5CgYIERkON2q33he7TkI1W/DCl2XfFpVuDa5rInIVDBAiMhxu1G69vad+h2q2oMu0rXpPxTC4ronIVTBAiMhwuFG79XJyCxAcUXJG9Is5uXpPxxC4ronIVTBAiMhwuFHTRo9ZJWdE33nsYuVXpmrjuiYiV8EAISLD4UZNG//3VQpUswVf7Kr8rMRUfVzXROQqGCASKSoqQkZGBrKyspCdnc3B4RYjKysLGRkZKCoq0vtHzCY7mxs1LczafASq2YK31vys91QMQcZ1zeMahzsOGY9rroYBIpGMjAy7M5FzcLjTuPlsxHrKzpZvo+aO1qWegWq2YNC8xMqvTNUm47rmcY3DnYdMxzVXwwCpwJw5cxAcHAwfHx907NgRO3bsqPD68fHx6NixI3x8fNCiRQvMmzdP6PaysrKgKArS9wXj8rGWTo2kg0FCY/G+DsJjYnIfoTEifojQeCx2uNB4cONIodE7WnyI3obo1yD6PRK9D6pyP4uuJWfXaPq+YCiKgqysrOr8ONYoGTdq7uhgZhZUswV3vxuD4uJivafj9pxZ13od17opj6CH8g8ODrcY3ZRHpDuuuRoGSDmWL18OLy8vLFq0CGlpaRg3bhwCAgKQnp7u8PonT56Ev78/xo0bh7S0NCxatAheXl5YtWqV07dpPXhcPtYSRedaOzV+Tm8iNJYd7yQ8phzoLzRG/vCs0Bic9JLQeDjhVaHRN36s8BC9DdGvQfR7JHofVOV+Fl1Lzq7Ry8daSrfZZ4Bo40Z+IVr8752wLlzhO2HdapWtaz2Paz2Uf+BBj0EcHG4xeij/4DGkmhgg5ejcuTNGjRpld1loaCgiIiIcXn/ChAkIDQ21u2zkyJHo2rWr07fJAGGAGDVARH8r++233+Luu++Gn58fAgMDMXz4cFy6dEn4Z40Hj1vPNHM7VLMFicf5Tli3WmXrWs/jGgOEw50GA6T6GCAO5OXlwdPTE2vWrLG7fOzYsejevbvDj3nggQcwduxYu8vWrFmD2rVrIz8/36nbZYAwQIwYIKK/ld25cydq1aqFTz75BCdPnsTOnTvRvn17PPbYY079nJX+WePB49Z74cuSd8L6MvGU3lNxexWta72PawwQDncaDJDqY4A4kJmZCUVRkJho/8LJadOm4c4773T4MSEhIZg2bZrdZYmJiVAUBWfPnnX4Mbm5uXbvqmB9sR4DhAFipAAR/a3srFmz0LJlS7vLPv30UzRt2tTh9R1hgGhnxqbDUM0WvM13wrrlKlrXeh/XGCAc7jQYINXHAHHA+kCdlJRkd/nUqVPRpk0bhx8TEhKCqKgou8t27doFRVFw7tw5hx8TGRnp8F0VGCAMEKMESFV+K5uYmAhvb29ER0ejuLgY58+fR/fu3TFy5Mhyf6bL2xTx4HHrrdmXAdVsweD5SZVfmarFmQDR67jGAOFwp8EAqT4GiANaPVXNZ0AYIEYPkKr8VhYAVq5cidtuuw21a9eGoih49NFHK/yTkPI2RTx43HoHzpS8E1bH97foPRW3J8OfYPEZEA4jDAZI9TFAytG5c2eMHj3a7rK2bdtW+GK9tm3b2l02atQovgidAcIAcSJARH4re+jQIQQFBWHmzJn46aefsHnzZtx11114/vnny/3Z4jMg+snJLYBqLnknrOwbzr1ugKrGmReh63VcY4BwuNNggFQfA6Qc1hfGLl68GGlpaXjttdcQEBCA06dPAwAiIiIwbNgw2/Wtb1c4fvx4pKWlYfHixXwbXgYIA+QW/AnWs88+i0GDBtldtnPnzgr/Lr28nzUePLTRaUosVLMFP2fwPfNvJWffhleP4xoDhMOdBgOk+hggFZgzZw5UVYW3tzc6duyIhIQE2/+Fh4fDZDLZXT8+Ph5hYWHw9vZGcHCw8AmbGCAMEKMFCCD+W9knnngCQ4YMsbssKSkJiqIgMzNT6GeNBw9tPDk3EarZgg37nbt/qGqcPRGhHsc1BgiHOw0GSPUxQCRifaBOOhjk9CZwydGuQuP11MHC4/Fdo4TG32MmCI32698RGiEr3xMarVa8LzxEb0P0axD9HoneB1W5n0XXkrNrNOlgUI3+VnbJkiWoXbs25s6dixMnTmDXrl2499570blzZ+GfNR48tPHG9/uhmi34dOsxvafi1mRc14YNkFqDxYbnUPmG6Neg9/ecAeJSGCASYYAwQIwYIID4b2U//fRTtGvXDn5+fggKCsIzzzyDM2fOCP+s8eChjc+2H4dqtmD8ilS9p+LWZFzXDBAGiDsOBkj1MUAkwgBhgBg1QLQm40bNnf33p0yoZguemJtY+ZWpymRc1wwQBog7DgZI9TFAJMIAYYAwQLQh40bNnfGteLUh47pmgDBA3HEwQKqPASIRBggDhAGiDRk3au6Mb8WrDRnXNQOEAeKOgwFSfQwQiTBAGCAMEG3IuFFzd3wr3ltPxnXNAGGAuONggFQfA0QiDBAGCANEGzJu1NzdoHklb8W7nm/Fe8vIuK4ZIAwQdxwMkOpjgEiEAcIAYYBoQ8aNmruzvhXvJ3wr3ltGxnXNAGGAuONggFQfA0QiDBAGCANEGzJu1Nzdf7Ydg2q24F/f79d7Km5LxnXNAGGAuONggFQfA0QiDBAGCANEGzJu1Nzd2n1noJoteGpBst5TcVsyrmsGCAPEHQcDpPoYIBJhgDBAGCDakHGj5u5STv0O1WzB/R9s03sqbkvGdc0AYYC442CAVB8DRCIMEAYIA0QbMm7U3N357BtQzRa0fCsaBYVFek/HLcm4rhkgDBB3HAyQ6mOASMT6QL14XwcsO97JqSG6yXw44VXhcfeGSUIj+LtpQqP5whlCQ/3PLKER/MmHwkP0NkS/BtHvkeh9UJX7WXQtObtGF+/rIN0DtYwbNXdXVFSMkIkboZot+PX3a3pPxy3JuK7dJUAe8v6n0OgbOEZo9AmbLDR6PTBVeIjehujXIPo90vs+ZYDoiwEiEQYIA4QBog0ZN2pG0HNWHFSzBUm/XNJ7Km5JxnXNAGGAMEDIEQaIRBggDBAGiDZk3KgZwbOf74ZqtuD7lF/1nopbknFdM0AYIAwQcoQBIhEGCAOEAaINGTdqRhCx+meoZgs+2nJU76m4JRnXNQOEAcIAIUcYIBJhgDBAGCDakHGjZgRz4o5DNVswfkWq3lNxSzKuawYIA4QBQo4wQCTCAGGAMEC0IeNGzQjW78+EarZg8PwkvafilmRc1wwQBggDhBxhgEiEAcIAYYBoQ8aNmhH8mP4HVLMFf4/aqvdU3JKM65oBwgBhgJAjDBCJMEAYIAwQbci4UTOCC1dyoZotaBFhQV4BzwVS02Rc1wwQBggDhBxhgEiEAcIAYYBoQ8aNmhEUFxfjzv+dCyT9Es8FUtNkXNcMEAYIA4QcYYA4EBUVhXvvvRe33XYbGjZsiH/84x84cuRIhR8TFxcHRVHKjMOHDzt9uwwQBggDRBsybtSMoteHJecCSTx+Ue+puJ2K1rXexzUGCAOEAUKlMUAc6Nu3L5YsWYKDBw9i//796N+/P5o3b46rV6+W+zHWB+qjR4/i3LlztlFYWOj07TJAGCAMEG0wQPRjPRfIyh8y9J6K26loXet9XGOAMEAYIFQaA8QJFy5cgKIoSEhIKPc61gfqy5cvV/l2GCAMEAaINhgg+nlz5X6oZgs+3XpM76m4HZF1rfVxjQHCAGGAUGkMECccP34ciqLgwIED5V7H+kAdHByMwMBA9OrVC9u3b6/w8+bm5iI7O9s2MjIyGCAMEAaIBhgg+pm95ShUswURq3/SeypuR2Rda31cY4AwQBggVBoDpBLFxcUYOHAgunXrVuH1jhw5goULF+LHH39EUlISRo8eDQ8Pjwp/uxQZGenw72snJvfBlAP9nRqP7xolNEQ3sndvmAT1q+lCQ3Sz33rqR0IjdOJsodH2LfEhehuiX4NwEAneB1W5n0XXkrNrdGJyH+keqBkg+lmx91eoZgueW7xH76m4HWfXtR7HNdkCpE/Ac0JDdLOvzpklNIbvGS40og4+LDxEb0P0axAOIsH7QO81wwCpWQyQSowZMwaqqiIjQ/zvlQcMGICBAweW+//l/aaIAcIAYYDcWgwQ/ew4dgGq2YKHZsfrPRW34+y61uO4xgBhgDBAqDQGSAVeeeUVNG3aFCdPnqzSx0+dOhWhoaFOX9968GCAMEAYILcWA0Q/x3/LgWq24G+TN+s9FbfjzLrW67jGAGGAMECoNAaIA8XFxXj55ZfRuHFjHDtW9RdKPvnkk+jZs6fT12eAMEAYINpggOjnWl4BVLMFqtmC7Bv5ek/HrVS0rvU+rjFAGCAMECqNAeLA6NGjUa9ePcTHx9u99eD169dt14mIiMCwYcNs//7444+xdu1aHDt2DAcPHkRERAQURcHq1audvl0GCAOEAaINBoi+7n43BqrZgiPnrug9FbdS0brW+7jGAGGAMECoNAaIA45eQKcoCpYsWWK7Tnh4OEwmk+3fM2bMQKtWreDr64v69eujW7duiI6OFrpdBggDhAGiDQaIvvr9ewdUswXbj/ym91TcSkXrWu/jGgOEAcIAodIYIBJhgDBAGCDaYIDo6/kle6GaLfhud7reU3ErMq5rBggDhAFCjjBAJMIAYYAwQLQh40bNSCau/Rmq2YJZm4/oPRW3IuO6ZoAwQBgg5AgDRCIMEAYIA0QbMm7UjOSz7cehmi0YvyJV76m4FRnXNQOEAcIAIUcYIBJhgDBAGCDakHGjZiRr952BarbgqQXJek/Frci4rhkgDBAGCDnCAJEIA4QBwgDRhowbNSPZfeISVLMFppnb9Z6KW5FxXTNAGCAMEHKEASIRBggDhAGiDRk3akaSfukaVLMFd07ciOLiYr2n4zZkXNcMEAYIA4QcYYBIxPpAPSJ+CEb+8KxT4+8xE4RG8HfTxIfgZrnN5NlC465xYqPjCx8JjXvDxYfobYh+DaLfI9H7oCr3s+hacnaNjogfIt0DtYwbNSO5kV9oOxnh5Wt5ek/Hbci4rrUIkIe8/yk8RDfLD8T+S2gcTG8sNHIymwuN3LMthIfobYh+DaLfI9H7oCr3MwNEXgwQiTBAGCAMEG3IuFEzmg7vlZyM8PA53gc1RcZ1zQBhgDBAyBEGiEQYIAwQBog2ZNyoGU3fjxOgmi2I48kIa4yM65oBwgBhgJAjDBCJMEAYIAwQbci4UTOa4V/sgWq2YNkenoywpsi4rhkgDBAGCDnCAJEIA4QBwgDRhowbNaOJWP0TVLMFH8ce1XsqbkPGdc0AYYAwQMgRBohEGCAMEAaINmTcqBnNx7FHoZotiFj9k95TcRsyrmsGCAOEAUKOMEAkwgBhgDBAtCHjRs1olu1Jh2q2YPgXe/SeituQcV0zQBggDBByhAEiEQYIA4QBog0ZN2pGs/3Ib1DNFvT79w69p+I2ZFzXDBAGCAOEHGGASIQBwgBhgGhDxo2a0aSdzYZqtiDs/S16T8VtyLiuGSAMEAYIOcIAkQgDhAHCANGGjBs1o/njap7tZIS5BYV6T8ctyLiuGSAMEAYIOcIAkQgDhAHCANGGjBs1oykuLsadEzdCNVvw6+/X9J6OW5BxXTNAGCAMEHKEASIRBggDxKgBMmfOHAQHB8PHxwcdO3bEjh0Vvy4gNzcXb7/9Npo3bw5vb2+0bNkSixcvFv5Z48FDX91nbodqtmDvqd/1nopbkHFdM0AYIAwQcoQBIhHrA/VjscMxOOklp0b79e8IjeYLZwiP1lM/Ehqim/HOz3woNB54ZIbQ6NF7uvAQvQ3Rr0H0eyR6H1TlfhZdS86u0cdih1f4QL18+XJ4eXlh0aJFSEtLw7hx4xAQEID09PJPUPfoo4+iS5cuiI2NxalTp7Bnzx4kJiYK/6zx4KGvwfOToJotWL8/U++puAUZ13WVAqTWYKHRN3CM8FDnzBIaopvx/LMthUbRudbSDdGvQfR7JHofVOV+Fl1LDBDtMEAkwgBhgBgxQDp37oxRo0bZXRYaGoqIiAiH19+0aRPq1auH33+v+m/NZdyoGdGrS/dBNVuwMOGE3lNxCzKuawYIA4QBQo4wQByIjIyEoih244477qjwY+Lj49GxY0f4+PigRYsWmDdvnvDtMkAYIEYLkLy8PHh6emLNmjV2l48dOxbdu3d3+HMyevRo9O7dG2azGY0bN0ZISAjeeOMNXL9+vdyfrdzcXGRnZ9tGRkYGDx4SmBadBtVswfv/PaT3VNxCRQGi93GNAcIAYYBQaQwQByIjI9G+fXucO3fONi5cuFDu9U+ePAl/f3+MGzcOaWlpWLRoEby8vLBq1Sqh22WAMECMFiCZmZlQFKXMn09NmzYNd955p8Ofk759+8LHxwf9+/fHnj17EB0dDVVVMWLEiHJ/thxtvnjw0N/nO09CNVvwytJ9ek/FLVQWIHoe1xggDBAGCJXGAHEgMjIS99xzj9PXnzBhAkJDQ+0uGzlyJLp27Sp0uwwQBohRAyQpKcnu8qlTp6JNmzYOf04eeugh+Pr6Iisry3bZ6tWr4eHhUe6zIHwGRE4b9mdCNVsweH5S5VemSlUWIHoe1xggDBAGCJXGAHEgMjIS/v7+CAoKQnBwMIYOHYoTJ8r/G+UHHngAY8eOtbtszZo1qF27NvLz852+XQYIA8RoAVKVP8F67rnn0KpVK7vL0tLSoCgKjh07JvSzxoOHvvac/B2q2QLTzO16T8UtVBYgeh7XGCAMEAYIlcYAcWDjxo1YtWoVfv75Z8TGxsJkMuGOO+7ApUuXHF4/JCQE06ZNs7ssMTERiqLg7Nmz5d5Oeb+VZYAwQIwSIEDJi9BHjx5td1nbtm3LfRH6ggUL4Ofnh5ycHNtl69atQ61atSp8HUhpDBA5nL50FarZgtBJm1BcXKz3dFxeReta7+MaA4QBwgCh0hggTrh69SruuOMOfPTRRw7/PyQkBFFRUXaX7dq1C4qi4Ny5c+V+3vL+Lp0BwgAxUoBY34Z38eLFSEtLw2uvvYaAgACcPn0aABAREYFhw4bZrp+Tk4OmTZti0KBBOHToEBISEhASEoIXX3zR6Z9pBogcrucV2s6Gnn3D+d+qk2Mi61rr4xoDhAHCAKHSGCBOevDBB8u8VahVVZ+q5jMgDBAGSIk5c+ZAVVV4e3ujY8eOSEhIsP1feHg4TCaT3fUPHz6MBx98EH5+fmjatClef/11p5/9ABggMrkrcjNUswXHf7ui91Rcnui61vK4xgBhgDBAqDQGiBNyc3PRpEkTvPfeew7/f8KECWjbtq3dZaNGjeKL0BkgDBAnA0RrDBB59P4oHqrZgsTjF/WeissTWddaH9cYIAwQBgiVxgBx4I033kB8fDxOnjyJ3bt3Y8CAAahTp065fxJifbvC8ePHIy0tDYsXL+bb8DJAGCAMEHLCPxclQzVbsGZfht5TcXkVrWu9j2sMEAYIA4RKY4A4MHToUAQFBcHLywuNGzfGE088gUOH/jxRlqM/CYmPj0dYWBi8vb0RHBzMExEyQBggDBBywvjlqVDNFsyL/0Xvqbi8ita13sc1BggDhAFCpTFAJGJ9oH5w40g8nPCqUyNk5XtCQ/3PLOEROnG20Oj4wkdCQ3Sz3ydsstDo1+pfwkP0NkS/BtHvkeh9UJX7WXQtObtGH9w4UroHagaIPKZvPAzVbMG7Gw7qPRWXJ+O6rlKAeA4VGqKP133CJmP4nuFCIyezudDQOx70GKLfI9H7oCr3s+haYoBohwEiEQYIA4QBog0ZN2pG9cWukrOhj/n2R72n4vJkXNcMEOMMBgiJYIBIhAHCAGGAaEPGjZpRWX46C9VswZNzE/WeisuTcV0zQIwzGCAkggEiEQYIA4QBog0ZN2pGlXKq5GzoD8zg2dCrS8Z1zQAxzmCAkAgGiEQYIAwQBog2ZNyoGdWvv1+DarbgzokbeTb0apJxXTNAjDMYICSCASIRBggDhAGiDRk3akZ1I//Ps6FnXePZ0KtDxnXNADHOYICQCAaIRBggDBAGiDZk3KgZ2d3vxkA1W3D0PM+GXh0yrmsGiHEGA4REMEAkwgBhgDBAtCHjRs3IHppdcjb0Hccu6D0VlybjumaAGGcwQEgEA0QiDBAGCANEGzJu1IzsmUW7oZotWPUDz4ZeHTKuawaIcQYDhEQwQCTCAGGAMEC0IeNGzcjGryg5G/qcuON6T8WlybiuGSDGGQwQEsEAkQgDhAHCANGGjBs1I7OeDT1yPc+GXh0yrmsGiHEGA4REMEAkwgBhgDBAtCHjRs3IFu/k2dBrgozrmgFinMEAIREMEIlYH6h7R49E3/ixTo1WK94XGsGffCg82r41W2jcG/6R0OjRe7rQEI0Jpw96pYbobYh+DaLfI9H7oCr3s+hacnaN9o5mgFDFrGdDHzSPZ0OvDhnXtRYB0uuBqcIj6uDDQiP3bAuhoXcM6DFEv0ei90FV7mcGiLwYIBJhgDBAGCDakHGjZmR7eTb0GiHjumaAGGcwQEgEA0QiDBAGCANEGzJu1Izs9KWrUM0WtJnEs6FXh4zrmgFinMEAIREMEIkwQBggDBBtyLhRM7LreX+eDT37Bs+GXlUyrmsGiHEGA4REMEAkwgBhgDBAtCHjRs3o/ha5GarZguO/8WzoVSXjumaAGGcwQEgEA0QiDBAGCANEGzJu1Iyu14dxUM0WJB6/qPdUXJaM65oBYpzBACERDBCJMEAYIAwQbci4UTO6pxcmQzVbsHbfGb2n4rJkXNcMEOMMBgiJYIBIhAHCAGGAaEPGjZrRjVu2D6rZgvnxv+g9FZcl47pmgBhnMEBIBANEIgwQBggDRBsybtSMblp0GlSzBe//95DeU3FZMq5rBohxBgOERDBAHFBVFYqilBljxoxxeP24uDiH1z98+LDQ7TJAGCAMEG3IuFEzukU7TkA1W/DK0n16T8VlVbSu9T6uMUDcfzBASAQDxIELFy7g3LlzthEbGwtFURAXF+fw+tYH6qNHj9p9XGFhodDtMkAYIAwQbTBA5LN+fyZUswWD5yfpPRWXVdG61vu4xgBx/8EAIREMECeMGzcOrVq1KvcEWdYH6suXL1frdhggDBAGiDYYIPJJPnEJqtmCHrPi9J6KyxJZ11of1xgg7j8YICSCAVKJvLw83H777Zg2bVq517E+UAcHByMwMBC9evXC9u3bK/3cubm5yM7Oto2MjAwGCAOEAaIBBoh8Tl4sORt623c26T0Vl+XsutbjuMYAcf/BACERDJBKrFixAp6ensjMzCz3OkeOHMHChQvx448/IikpCaNHj4aHhwcSEhIq/NyRkZEO/8b2wY0j8XDCq06NkJXvCQ31P7OER+jE2UKj4wsfCY0HHpkhNPqETRYaojHRr9W/hG9D9GsQ/R6J3gdVuZ9F15Kza/TBjQwQqtzV3ALb2dBzcgv0no5LcnZd63Fcu5UBIvp43SdsMobvGS40cjKbCw29Y0CPIfo9Er0PqnI/M0DkxQCpRJ8+fTBgwADhjxswYAAGDhxY4XXK+00RA4QBwgC5tRggcmo/ueRs6Ccu5Og9FZfk7LrW47jGAHH/wQAhEQyQCpw+fRq1atXCunXrhD926tSpCA0NFfoY68GDAcIAYYDcWgwQOfWcVXI29KRfLuk9FZfkzLrW67jGAHH/wQAhEQyQCkRGRiIwMBAFBeJ/DvDkk0+iZ8+eQh/DAGGAMEC0wQCR09AFSVDNFqxL5dnQq8KZda3XcY0B4v6DAUIiGCDlKCoqQvPmzWE2m8v8X0REBIYNG2b798cff4y1a9fi2LFjOHjwICIiIqAoClavXi10mwwQBggDRBsMEDm9urTkbOgLE07oPRWXVNm61vO4xgBx/8EAIREMkHLExMTY3gP9ZuHh4TCZTLZ/z5gxA61atYKvry/q16+Pbt26ITo6Wvg2GSAMEAaINhggcppqOQTVbMFUC8+GXhWVrWs9j2sMEPcfDBASwQCRCAOEAcIA0QYDRE7Ws6G/yrOhV4mM65oBYpzBACERDBCJMEAYIAwQbci4USNgXeoZqGYLhi7g2dCrQsZ1zQAxzmCAkAgGiEQYIAwQBog2ZNyo0Z9nQ+/Js6FXiYzrmgFinMEAIREMEIkwQBggDBBtyLhRI+DEhRyoZgvaT96s91RckozrmgFinMEAIREMEIkwQBggDBBtyLhRIyCn1NnQr/Js6MJkXNcMEOMMBgiJYIBIhAHCAGGAaEPGjRqVaPfOJqhmC05evKr3VFyOjOuaAWKcwQAhEQwQiVgfqB+LHY7BSS85Ndqvf0doNF84Q3i0nvqR0Lhr3Gyh0fmZD4WG6Ga/R+/pwkP0NkS/BtHvkeh9UJX7WXQtObtGH4sdLt0DtYwbNSphPRt68gmeDV2UjOu6SgFSa7DQ6Bs4Rnioc2YJjYPpjYVG/tmWQkPveHA0RL8G0e+R6H1QlftZdC0xQLTDAJEIA4QBwgDRhowbNSoxZH7J2dDX78/UeyouR8Z1zQBhgDBAyBEGiEQYIAwQBog2ZNyoUQnr2dAX7eDZ0EXJuK4ZIAwQBgg5wgCRCAOEAcIA0YaMGzUqc+C66QAAIABJREFUwbOhV52M65oBwgBhgJAjDBCJMEAYIAwQbci4UaMSCxNKzoY+dhnPhi5KxnXNAGGAMEDIEQaIRBggDBAGiDZk3KhRifX7M6GaLRgyn2dDFyXjumaAMEAYIOQIA0QiDBAGiFEDZM6cOQgODoaPjw86duyIHTt2OPUzs2vXLnh6euKee+6p0s8aDx7y2f2/s6GbZm7XeyouR8Z1zQBhgDBAyBEGiEQYIAwQIwbI8uXL4eXlhUWLFiEtLQ3jxo1DQEAA0tPTK/x5ycrKQsuWLdGnTx8GiBs5fekqVLMFoZM2obi4WO/puBQZ1zUDhAHCACFHGCASYYAwQIwYIJ07d8aoUaPsLgsNDUVERESFPy9Dhw7FpEmTEBkZyQBxIzfyC21nQ8+6nq/3dFyKjOuaAcIAYYCQIwwQiTBAGCBGC5C8vDx4enpizZo1dpePHTsW3bt3L/dn5YsvvsC9996LgoICpwIkNzcX2dnZtpGRkcGDh8TufjcGqtmCY+ev6D0Vl8IAYYAwQBggroIBIhEGCAPEaAGSmZkJRVGQmJhod/m0adNw5513Ovw5OXbsGBo1aoSjR48CgFMBEhkZCUVRygwePOTUZ3YCVLMFO45d0HsqLoUBwgBhgDBAXAUDRCIMEAaIUQMkKcn+HY+mTp2KNm3alLl+YWEh7r33XsybN892GZ8BcT/Pfr4bqtmClT9k6D0Vl8IAYYAwQBggroIBIhHrA/WI+CEY+cOzTo2/x0wQGsHfTRMfn3woNNpMni00RDfjHV/4SGjcGy4+RG9D9GsQ/R6J3gdVuZ9F15Kza3RE/JAa+xOsy5cvQ1EUeHp62oaHh4ftsm3btgn9rPHgIad/fb8fqtmCz7Yf13sqLkXGdV2lABEcD3n/U3j0emCq0Hgg9l9CQ3QznpPZXGjknm0hPERvQ/RrEP0eid4HVbmfb9WaY4BUHwNEIgwQBojRAgQoeRH66NGj7S5r27atwxehFxUV4cCBA3Zj9OjRaNOmDQ4cOICrV68K/azx4CGnWZuPQDVb8M66A3pPxaXIuK4ZIAwQBgg5YsgASUhIwIABAxAUFARFUbB27Vq7/y8uLkZkZCSCgoLg6+sLk8mEgwcPVvp5V61ahbZt28Lb2xtt27Yt81vdyjBAGCBGDBDr2/AuXrwYaWlpeO211xAQEIDTp08DACIiIjBs2LByf274Llju5+vk01DNFvzfVyl6T8UlWI9pgYGBUBQF3333nd3/63VMAxggDBAGCDlmyADZuHEjJk6ciNWrVzsMkA8++AB16tTB6tWrceDAAQwdOhRBQUG4cqX8d2RJSkqCp6cnoqKicPjwYURFRaF27drYvXu30/NigDBAjBggQMmJCFVVhbe3Nzp27IiEhATb/4WHh8NkMpX7sQwQ9xNz8BxUswWP/men3lNxCdZj2jfffOMwQPQ6pgEMEAYIA4QcM2SAlHZzgBQXFyMwMBAffPCB7bLc3FzUq1cP8+fPL/fzDBkyBP369bO7rG/fvnjqqaecngsDhAFi1ADRGgNEbj9lXIZqtqDLtK16T8WlWNd16QDR85hWek4MEAYIA4RKY4DcFCAnTpyAoijYt2+f3fUeffRRPPfcc+V+nmbNmmH27Nl2l82ePRvNmzcv92PKe2ceBggDhAFyazFA5HY++wZUswUt34pGYRHPhu4sRwGi5TENKP+4xgBhgDBAqDQGyE0BkpiYCEVRkJmZaXe9//u//0OfPn3K/TxeXl5lnvb+7rvv4O3tXe7HlHduAgYIA4QBcmsxQORWWFSMFhElZ0P/LfuG3tNxGY4CRMtjGlD+cY0BwgBhgFBpDJByAuTs2bN213vxxRfRt2/fcj+Pl5cXli5danfZt99+Cx8fn3I/hs+AMEAYIPpggMiv87RYqGYLfsq4rPdUXEZFAaLFMQ3gMyAMEAYIOYcBouOfYN2MrwFhgDBAtMEAkd+j/9kJ1WzB5oPn9J6Ky5DhT7DKmxMDhAHCAKHSGCDlvAh9xowZtsvy8vKcesHeww8/bHdZv379+CJ0BggDhAFCVTDy6x+gmi34KumU3lNxGRW9CF2PY1rpOTFAGCAMECrNkAGSk5OD1NRUpKamQlEUzJ49G6mpqUhPTwdQ8paF9erVw5o1a3DgwAE8/fTTZd6ycNiwYXYnSktMTISnpyc++OADHD58GB988AHfhpcBwgBhgFAVRa4/CNVswQebDus9FelZj2k7d+6EoiiIioqS4pgGMEAYIAwQcsyQARIXF+fwRXLh4eEA/jxpU2BgIHx8fNC9e3ccOGB/Rl6TyWS7vtXKlSvRpk0beHl5ITQ0FKtXrxaaFwOEAcIA0QYDRH7z43+BarZg3LJ9lV/Z4GQ9pgEMEAYIA4QcM2SAyMr6QD0xuQ+mHOjv1Hh81yihcfeGScJD/Wq60BDdLLee+pHQCJ04W2i0fUt8iN6G6Ncg+j0SvQ+qcj+LriVn1+jE5D7SPVAzQOS3LvUMVLMFQ+Yn6T0VlyHjutYiQKoy+gQ8JzREN8vqnFlCY/ie4UIj6uDDwkP0NkS/BtHvkeh9oPeaYYDULAaIRBggDBAGiDZk3KiRvb2nfodqtqD7zO16T8VlyLiuGSAMEAYIOcIAkQgDhAHCANGGjBs1svfr79egmi0ImbgRxcU8GaEzZFzXDBAGCAOEHGGASIQBwgBhgGhDxo0a2csrKIJqLjkZ4aWcXL2n4xJkXNcMEAYIA4QcYYBIhAHCAGGAaEPGjRqV1WlKyckID5zJ0nsqLkHGdc0AYYAwQMgRBohEGCAMEAaINmTcqFFZA/93MsIth87rPRWXIOO6ZoAwQBgg5AgDRCIMEAYIA0QbMm7UqKz/+yoFqtmCr3kyQqfIuK4ZIAwQBgg5wgCRCAOEAcIA0YaMGzUqa/K6A1DNFszgyQidIuO6ZoAwQBgg5AgDRCIMEAYIA0QbMm7UqKx5/zsZ4WvLU/WeikuQcV0zQBggDBByhAEiEQYIA4QBog0ZN2pUlvVkhEMX8GSEzpBxXTNAGCAMEHKEASIRBggDhAGiDRk3alTW7hOXoJotMPFkhE6RcV0zQBggDBByhAEiEQYIA4QBog0ZN2pUVumTERYV8WSElZFxXTNAGCAMEHKEASIR6wP14n0dsOx4J6fG66mDhcbDCa8KD9GNbPB304RG84UzhIb6n1lCQ3SzH/zJh8K3Ifo1iH6PRO+DqtzPomvJ2TW6eF8H6R6oZdyoUVl5BUUIjig5GeFvV27oPR3pybiuZQ0Q0fGQ9z+FRt/AMUKjT9hkoSG62e/1wFTh2xD9GkS/R3rfpwwQfTFAJMIAYYAwQLQh40aNHOsybStUswX70v/QeyrSk3FdM0AYIAwQcoQBIhEGCAOEAaINGTdq5NgTcxOhmi3470+Zek9FejKuawYIA4QBQo4wQCTCAGGAMEC0IeNGjRwbu2wfVLMF8+N/0Xsq0pNxXTNAGCAMEHKEASIRBggDhAGiDRk3auTYjE2HoZoteGfdAb2nIj0Z1zUDhAHCACFHGCASYYAwQBgg2pBxo0aOfbv7NFSzBc8v2av3VKQn47pmgDBAGCDkCANEIgwQBggDRBsybtTIsbgjv0E1W9D34wS9pyI9Gdc1A4QBwgAhRxggEmGAMEAYINqQcaNGjh3/7QpUswV/m7wZxcU8F0hFZFzXDBAGCAOEHDFkgCQkJGDAgAEICgqCoihYu3at7f/y8/MxYcIE/O1vf4O/vz+CgoIwbNgwZGZW/A4sS5YsgaIoZcaNG86/dz0DhAHCANGGjBs1cuxaXgFUc8m5QLKu5es9HSlZj2mBgYFQFAXfffed7f/0PKYBDBAGCAOEHDNkgGzcuBETJ07E6tWrywRIVlYWHnzwQaxYsQJHjhxBcnIyunTpgk6dOlX4OZcsWYK6devi3LlzdkMEA4QBwgDRBgPEtYS9vwWq2YKDmVl6T0VK1mPaN998UyZA9DymAQwQBggDhBwzZICUdnOAOLJ3714oioL09PRyr7NkyRLUq1evWnNhgDBAGCDaYIC4loH/2QnVbEHMQfENsJFY13XpAHFEq2Na6TkxQBggDBAqjQHiRIDExsbCw8OjwoW2ZMkSeHp6onnz5mjSpAn69++Pffv2Cc2FAcIAYYBogwHiWkZ98wNUswVf7Dqp91Sk5myAaHVMKz0nBggDhAFCpTFAKgmQGzduoFOnTnjmmWcq/DzJycn45ptvsH//fuzYsQNPPvkk/Pz8cOzYsXI/Jjc3F9nZ2baRkZHBAGGAMEA0wABxLVP+ewiq2YIp/z2k91Sk5kyA3MpjGlD+cY0BwgBhgFBpDJAKAiQ/Px//+Mc/EBYWJrzIioqKcM899+DVV18t9zqRkZEOX+SXdDAIP6c3cWosOdpVaIhuMl9PHYzHd40SGn+PmSA02q9/R2iErHxPaLRa8b7wEL0N0a9B9Hskeh9U5X4WXUvOrtGkg0HSPVAzQFzLkl0noZoteOnrFL2nIrXKAuRWH9OA8o9rrh4gwqPWYLHhOVS+Ifo16P09Z4C4FAZIOQGSn5+Pxx57DHfffTcuXbpUpc/94osvol+/fuX+f3m/KWKAMEAYILcWA8S1bDt8nucCcUJFAaLFMQ1w32dAGCAMEAZIzWKAOAgQ6wN1+/btceHChSp93uLiYtx7770YMWKE0x9jPXgwQBggDJBbiwHiWo7/lgPVbEHbdzbxXCAVKC9A9DqmlZ4TA4QB4k6DAVJ9hgyQnJwcpKamIjU1FYqiYPbs2UhNTUV6ejoKCgrw6KOPomnTpti/f7/d2w/m5eXZPsewYcMQERFh+/e7776LzZs348SJE0hNTcWIESNQu3Zt7Nmzx+l5MUAYIAwQbTBAXEtuQSGCI0rOBXIxJ1fv6UjHekzbuXMnFEVBVFSUFMc0gAHCAHHPwQCpPkMGSFxcnMO/UQ0PD8epU6cc/p+iKIiLi7N9DpPJhPDwcNu/X3vtNTRv3hze3t5o2LAh+vTpg6SkJKF5MUAYIAwQbTBAXM/fo7ZCNVvww+k/9J6KdGQ9pgEMEAaIew4GSPUZMkBkxQBhgDBAtMEAcT1DFyRBNVuwZl+G3lORlozrmgHCAHHHwQCpPgaIRBggDBAGiDZk3KhRxSas/Amq2YKPY4/qPRVpybiuGSAMEHccDJDqY4BIhAHCAGGAaEPGjRpV7LPtx6GaLRi/PFXvqUhLxnXNAGGAuONggFQfA0QiDBAGCANEGzJu1Khi//0pE6rZgifmJuo9FWnJuK4ZIAwQdxwMkOpjgEiEAcIAYYBoQ8aNGlXsp4zLUM0WdJoSq/dUpCXjumaAMEDccTBAqo8BIhEGCAOEAaINGTdqVLGsa/lQzSVvxXs1t0Dv6UhJxnXNAGGAuONggFQfA0QiDBAGCANEGzJu1Khyd78bA9VsweFzvN8ckXFdM0AYIO44GCDVxwCRiPWB+vKxlig619qp4ewm0DqW/f/27j846vrO4/i3hSSUlGH6a0Kw9btqgUQ6Z93zckwHk9pj4Fqjtjot05ki7Z0tifUSGGfcKNdusQmFtminmuqZS2l7LcY5CNouEYxKgkmKv4iFsCJITFxDBFE2EGCTkH3dH1xSFzYhC8l+v9/9Ph8znz/6zfdb3t983998Pi+T73cP/GPC46d7bkxoLHvlOwmNb7b8IKHx1cb/SGgsaihJeCT6byR6Dol+jxK9BhdznRPtpbH26LH9V9ruB7UdF2q4sJsfekGmL6Cn9xyyuhRbsmNfuzaAMFJ6EEAuHQHERgggBBC3BpDKykp5PB5lZGTI6/Vqx44dI+67adMmLViwQJ/+9Kc1bdo0zZs3T1u3br2oe43Jw1mW17TK9AX08PMHrC7FluzY1wQQRioOAsilI4DYCAGEAOLGAFJTU6O0tDRVVVUpGAyqtLRUmZmZ6uzsjLt/aWmp1q5dq5deekn79+/Xvffeq7S0NO3atSvhe43Jw1keem7/2VfxPsGreOOxY18TQBipOAggl44AYiMEEAKIGwNIXl6eioqKYrbl5OSorKxszPfO1VdfrVWrViV8rzF5OEvd7kMyfQHd/HCT1aXYkh37mgDCSMVBALl0BBAbIYAQQNwWQPr6+jRp0iTV1tbGbC8pKVF+fv6Y7pvBwUF97nOf00MPPTTiPpFIRD09PcMjFAoxeTjQG+8el+kL6As/3qpoNGp1ObZDAGEwkjMIIJeOAGIjBBACiNsCSFdXlwzDUHNz7IfLVVRUaPbs2WO6b37+85/rk5/8pA4fPjziPn6/X4ZhnDeYPJwlMnBGV5SdfRXv4Z7TVpdjOwQQBiM5gwBy6QggNkIAIYC4NYC0tLTEbC8vL9ecOXMueM9s2LBBU6dOVX396B9Ox29AUkf+z5+X6Quo5c2jVpdiOwQQBiM5gwBy6QggNkIAIYC4LYBcyp9g1dTU6GMf+5gCgcBF32tMHs7zvfUvyfQF9D9/7bC6FNuxY18TQBipOAggl44AYiMEEAKI2wKIdPYh9OLi4phtubm5oz6EvmHDBk2ZMkWbN2++pHuNycN5ygN7ZfoC+smf26wuxXbs2NcEEEYqDgLIpSOA2AgBhADixgAy9Bre6upqBYNBLV++XJmZmeroOPtfuMvKyrRkyZLh/Tds2KDJkyersrJS3d3dwyMcDid8rzF5OM/jL3bK9AW0pPpFq0uxHTv2NQGEkYqDAHLpCCA2QgAhgLgxgEhnP4jQNE2lp6fL6/WqsbFx+GtLly5VQUHB8P8uKCiI+0D50qVLE77XmDyc56W33pfpC+hLP3vO6lJsx459TQBhpOIggFw6AoiNhMNhGYahzl0eHdt/5ZhGS1t2QqN61xcTHiv/ujCh8b2GbyU0vl7/3YTGgrplCY1/2ZL4SPTfSPQcEv0eJXoNLuY6J9pLY+3Rzl0eGYaR0G8oJpodF2oYmw96+2T6zr4J6/jpfqvLsRU79vXQvDbf+Jq+bNzCYKTEmG98zXbzmtMQQGxk6M08DEYqjlAoZPUtNsyOCzWM3T9XPCvTF9DLb71vdSm2Yse+Zl5jpPKw07zmNAQQGxkcHFQoFFI4HI77ytBQKBSzPZUH52x9PeM1wuGwQqGQBgcHrb7FhvX02G+hhrH77m9flOkL6A8tb1ldiq3Ysa+Z19x7zql8vnac15yGAOIAPT32m1QmGueMicT32tnWPP26TF9AZZt2W12KrTipr51U63hx2zm77XyRGAKIA7jxJuacMZH4XjvbU691yfQF9PXKJqtLsRUn9bWTah0vbjtnt50vEkMAcQA33sScMyYS32tnO3D4uExfQLk/elqDg1Gry7ENJ/W1k2odL247Z7edLxJDAHGASCQiv9+vSCRidSlJwzljIjExOtvAmUHNXlkn0xdQ+3u9VpdjG07qazf+vHPbObvtfJEYAggA13HSQg3x3fTQCzJ9AW3ZfcjqUmyDvgbgFAQQAK7DQs357vnfv8n0BfTLbfusLsU26GsATkEAAeA6LNSc73fNb8n0BfTd375odSm2QV8DcAoCCADXYaHmfK1vH5PpC+iLq7YpGuVBdIm+BuAcBBAArsNCzfkiA2c0676zD6J3HOVBdIm+BuAcBBAHqKyslMfjUUZGhrxer3bs2GF1SRPC7/fLMIyYkZWVZXVZ46qxsVGFhYXKzs6WYRjavHlzzNej0aj8fr+ys7M1ZcoUFRQUqK2tzaJqUxcLtdRwy8NNMn0Bbd71jtWl2IJT+totc5rEvCYxryE+AojN1dTUKC0tTVVVVQoGgyotLVVmZqY6OzutLm3c+f1+zZ07V93d3cPjyJEjVpc1rurq6rRy5Upt2rQp7g/qNWvWaNq0adq0aZP27NmjxYsXKzs7W8ePH7eo4tTklIUaRveTP7fJ9AXkf4rFjOSMvnbTnCYxr0nMa4iPAGJzeXl5KioqitmWk5OjsrIyiyqaOH6/X9dcc43VZSTNuT+oo9GoZsyYoTVr1gxvi0Qimj59uh599FErSkxZTlio4cKebH1Hpi+gmx96wepSbMEJfe2mOU1iXmNew0gIIDbW19enSZMmqba2NmZ7SUmJ8vPzLapq4vj9fk2dOlXZ2dnyeDxavHixDh48aHVZE+bcH9QHDx6UYRjatWtXzH4333yzbr/99mSXl9KcsFDDhb39/kmZvoA+f98Wne4/Y3U5lrN7X7ttTpOY15jXMBICiI11dXXJMAw1NzfHbK+oqNDs2bMtqmri1NXVaePGjdq9e7fq6+tVUFCgrKwsHT161OrSJsS5P6ibm5tlGIa6urpi9vv+97+vhQsXJru8lGb3hRrGJhqNynv/MzJ9Ab3S8YHV5VjO7n3ttjlNYl5jXsNICCA2NvTDuqWlJWZ7eXm55syZY1FVydPb26usrCytW7fO6lImxEg/qA8div1k5zvuuEOLFi1Kdnkpze4LNYzdHb9/WaYvoMrtB6wuxXJ272u3z2kS89oQ5jUQQGzMjb+uPteCBQvO+3vhVMGvqq1j94Uaxu63Te0yfQF95793Wl2K5eze18xpZzGvMa+BAGJ7eXl5Ki4ujtmWm5ubsg/sfVgkEtFll12mVatWWV3KhBjpYb21a9cOb+vr6+NhvQlg94Uaxu6Nd4/L9AU05z/rFBlw93MgTuhrN89pEvOaxLyGswggNjf0ysLq6moFg0EtX75cmZmZ6ujosLq0cXf33XeroaFB7e3t2rlzpwoLCzVt2rSUOtcTJ06otbVVra2tMgxDDzzwgFpbW4dfQblmzRpNnz5dtbW12rNnj7797W/zusIJ4ISFGsYmGo3quvJ6mb6AWt5Mzb+rHysn9LWb5jSJeU1iXkN8BBAHqKyslGmaSk9Pl9frVWNjo9UlTYihd4OnpaVp5syZuvXWW7V3716ryxpX27dvP+9DqQzD0NKlSyX9/QObZsyYoYyMDOXn52vPnj3WFp2CnLBQw9iVPL5Lpi+gX27bZ3UplnJKX7tlTpOY1yTmNcRHAAHgOk5ZqGFsal7qlOkL6BuVTVaXYin6GoBTEEAAuA4LtdQS+uDs54Fcee8WHTvZZ3U5lqGvATgFAQSA67BQSz2LHmyU6Qto4yshq0uxDH0NwCkIIABch4Va6ln3zBsyfQHd8fuXrS7FMvQ1AKcggABwHRZqqaetKyzTF9DslXU62TdgdTmWoK8BOAUBBIDrsFBLPdFoVPPXPifTF9DTew5d+IAURF8DcAoCCADXYaGWmn76l70yfQHdtWHXhXdOQfQ1AKcggABwHRZqqelvoWMyfQHNWlmn8Ml+q8tJOvoagFMQQAC4Dgu11BSNRoffhvW75resLifp6GsATkEAAeA6LNRS1/qmdpm+gP71VzsUjUatLiep6GsATkEAAeA6LNRS17GTfZq1sk6mL6DX3j5mdTlJRV8DcAoCCADXYaGW2lbUtMr0BVT8x1esLiWp6GsATkEAAeA6LNRS277u4zJ9AXnKAjpw+LjV5SQNfQ3AKQggAFyHhVrq+8EfXpbpC2hFTavVpSQNfQ3AKQggAFyHhVrq2x06+8noV5QF1NYVtrqcpKCvATgFAQSA67BQc4c7//SqTF9At/2mWYODqf9GLPoagFMQQAC4Dgs1dzgUPqXcHz0t0xfQEy+/bXU5E46+BuAUBBAArsNCzT0ebXhTpi+guT/eqvb3eq0uZ0LR1wCcggACwHVYqLnHwJlBffPRFpm+gL76qx063X/G6pImDH0NwCkIIABch4Wau7zbc1re+5+R6Qvo33/3svrPDFpd0oSgrwE4BQEEgOuwUHOfvx48OvwJ6Xdt2KW+gdQLIfQ1AKcggABwHRZq7vRs8F1dde8Wmb6AvvVoiz7o7bO6pHFFXwNwCgIIANdhoeZez+87rLk/3irTF9A/ldfr2eC7Vpc0buhrAE5BAAHgOizU3G1f93Hd8IvtMn0Bmb6Abq9+UX8LHbO6rEtGXwNwCgIIAMtVVlbK4/EoIyNDXq9XO3bsGHX/hoYGeb1eZWRk6IorrtAjjzyS0L/HQg2n+8+oYktw+E+yTF9AX69s0p92duq9ExGry7so9DUApyCAALBUTU2N0tLSVFVVpWAwqNLSUmVmZqqzszPu/u3t7Zo6dapKS0sVDAZVVVWltLQ0bdy4ccz/Jgs1DHnrvV4tr2nV5+/7exDxlAVU+OsXdP9f9urJ1nf0enePIgP2f30vfQ3AKQggACyVl5enoqKimG05OTkqKyuLu/8999yjnJycmG3Lli3TvHnzxvxvslDDuQ4fP63fbH9Thb9+YTiIfHh4ygKat/pZ3fqbZhX/8RWt3Lxbv9y2T481HtTjL3bqqde6VL/3Xb2w/z292P6+Wt8+prausN5497gOHjmhzqMnFfrgpA6FT+lwz2kdOR7R0RMRvd/bp2Mn+xQ+2a/wqX71nD47jp/u14nIgE5EBtT7/+Nk34BO9Y0chOhrAE5BAAFgmb6+Pk2aNEm1tbUx20tKSpSfnx/3mOuvv14lJSUx22prazV58mT19/fHPSYSiainp2d4hEIhFmoY0eGe03qy9R35n2rTNyqb9AX/1rihxIrxDz/ZNmLdBBAATkEAAWCZrq4uGYah5ubmmO0VFRWaPXt23GNmzZqlioqKmG3Nzc0yDEOHDh2Ke4zf75dhGOcNFmoYi2g0qiPHI3q18wNt2X1I65vatW7bPq3cvFslj+/Sv61/SYv/q0U3P9ykhQ806su/2K4v/ew5XVder2vvf0Zf8G/V1T96WrNX1unz923RlR967oQAAsCNCCAALDMUQFpaWmK2l5eXa86cOXGPmTVrllavXh2zrampSYZhqLu7O+4x/AYEdhSNRnVmMKqBM4PqPzOovoGzIzJwRqf7Y8epvr+PkRBAADgFAQSAZZL1J1jnYqGGVERfA3AKAggAS+Xl5am4uDhmW25u7qgPoefm5sZsKyoq4iF0uB59DcApCCAALDX0Gt7q6moFg0EtX75cmZmZ6ujokCSVlZVpyZId/l/YAAAGw0lEQVQlw/sPvYZ3xYoVCgaDqq6u5jW8gOhrAM5BAAFgucrKSpmmqfT0dHm9XjU2Ng5/benSpSooKIjZv6GhQddee63S09Pl8Xj4IEJA9DUA5yCAAHAdFmpIRfQ1AKcggABwHRZqSEX0NQCnIIAAcB0WakhF9DUApyCAAHAdFmpIRfQ1AKcggABwHRZqSEX0NQCnIIAAcB0WakhF9DUApyCAAHAdFmpIRfQ1AKcggABwnXA4LMMwFAqF1NPTw2CkxAiFQjIMQ+Fw2OpbDABGRQAB4DpDCzUGIxVHKBSy+hYDgFERQAC4zuDgoEKhkMLh8Kj/JTlVfkPC+dh7jNf5hMNhhUIhDQ4OWn2LAcCoCCAAcI6entT6W3rOx95S7XwA4EIIIABwjlRbEHI+9pZq5wMAF0IAAYBzpNqCkPOxt1Q7HwC4EAIIAJwjEonI7/crEolYXcq44HzsLdXOBwAuhAACAAAAIGkIIAAAAACShgACAAAAIGkIIAAAAACShgACAAAAIGkIIABcqbKyUh6PRxkZGfJ6vdqxY8eo+zc0NMjr9SojI0NXXHGFHnnkkSRVOrrVq1fruuuu08c//nF95jOf0S233KJ9+/aNesz27dtlGMZ54/XXX09S1SPz+/3n1ZWVlTXqMXa9NpJkmmbc7/Wdd94Zd387XxsAGC8EEACuU1NTo7S0NFVVVSkYDKq0tFSZmZnq7OyMu397e7umTp2q0tJSBYNBVVVVKS0tTRs3bkxy5edbtGiR1q9fr7a2Nr322mu68cYbdfnll6u3t3fEY4YWuW+88Ya6u7uHx5kzZ5JYeXx+v19z586NqevIkSMj7m/nayNJR44ciTmX+vp6GYah7du3x93fztcGAMYLAQSA6+Tl5amoqChmW05OjsrKyuLuf8899ygnJydm27JlyzRv3rwJq/FiHTlyRIZhqLGxccR9hha5x44dS2JlY+P3+3XNNdeMeX8nXRtJKi0t1VVXXaVoNBr363a+NgAwXgggAFylr69PkyZNUm1tbcz2kpIS5efnxz3m+uuvV0lJScy22tpaTZ48Wf39/RNW68U4cOCADMPQnj17RtxnaJHr8Xg0Y8YMfeUrX9Hzzz+fxCpH5vf7NXXqVGVnZ8vj8Wjx4sU6ePDgiPs76dr09fXpU5/6lCoqKkbcx87XBgDGCwEEgKt0dXXJMAw1NzfHbK+oqNDs2bPjHjNr1qzzFo3Nzc0yDEOHDh2asFoTFY1GddNNN2n+/Pmj7rdv3z499thjevXVV9XS0qLi4mJ95CMfGfW3JslSV1enjRs3avfu3aqvr1dBQYGysrJ09OjRuPs75dpI0hNPPKFJkyapq6trxH3sfG0AYLwQQAC4ylAAaWlpidleXl6uOXPmxD1m1qxZWr16dcy2pqYmGYah7u7uCas1UXfeeadM01QoFEr42MLCQt10000TUNWl6e3tVVZWltatWxf36065NpK0cOFCFRYWJnycXa8NAFwsAggAV0nVP8G666679NnPflbt7e0XdXx5efl5z1LYxYIFC857ZmeIE66NJHV0dOijH/2onnzyyYSPtfO1AYCLQQAB4Dp5eXkqLi6O2ZabmzvqQ+i5ubkx24qKimzxoHM0GtUPf/hDzZw5U/v377/o/5/bbrtNN9xwwzhWNj4ikYguu+wyrVq1Ku7X7XxtPszv92vGjBkaGBhI+Fi7XhsAuFgEEACuM/Qa3urqagWDQS1fvlyZmZnq6OiQJJWVlWnJkiXD+w+96nXFihUKBoOqrq62zatei4uLNX36dDU0NMS8tvXUqVPD+5x7Pg8++KA2b96s/fv3q62tTWVlZTIMQ5s2bbLiFGLcfffdamhoUHt7u3bu3KnCwkJNmzbNkddmyODgoC6//HL5fL7zvuakawMA44UAAsCVKisrZZqm0tPT5fV6Yx7yXbp0qQoKCmL2b2ho0LXXXqv09HR5PB7bfNhdvA+tMwxD69evH97n3PNZu3atrrrqKk2ZMkWf+MQnNH/+fG3ZsiX5xcexePFiZWdnKy0tTTNnztStt96qvXv3Dn/dSddmyLZt24Y/2+NcTro2ADBeCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkoYAAgAAACBpCCAAAAAAkub/ACgRh1WOTNDyAAAAAElFTkSuQmCC\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Definition of the convolution kernel\n",
    "ksize = 15\n",
    "y,x = numpy.ogrid[-(ksize-1)//2:ksize//2+1,-(ksize-1)//2:ksize//2+1]\n",
    "d = numpy.sqrt(y*y+x*x)\n",
    "\n",
    "#Fade out curve definition\n",
    "fadeout = lambda x: 1/(1+numpy.exp(3*(x-4.5)))\n",
    "\n",
    "kernel = fadeout(d)\n",
    "mini=kernel.sum()\n",
    "print(\"Integral of the kernel: \", mini)\n",
    "\n",
    "fig,ax = subplots(1,3, figsize=(8,4))\n",
    "ax[0].imshow(d)\n",
    "ax[0].set_title(\"Distance array\")\n",
    "\n",
    "ax[1].plot(numpy.linspace(0,8,100),fadeout(numpy.linspace(0,8,100)))\n",
    "ax[1].set_title(\"fade-out curve\")\n",
    "\n",
    "ax[2].imshow(kernel)\n",
    "ax[2].set_title(\"Convolution kernel\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "smooth = convolve(normalized, kernel, mode=\"constant\", cval=0)/mini\n",
    "fig,ax = subplots(1,2, figsize=(8,4))\n",
    "ax[0].imshow(normalized)\n",
    "ax[0].set_ylim(1100,1400)\n",
    "ax[0].set_xlim(1000,1300)\n",
    "ax[1].imshow(smooth)\n",
    "ax[1].set_ylim(1100,1400)\n",
    "ax[1].set_xlim(1000,1300)\n",
    "\n",
    "ax[0].set_title(\"Grid (zoomed)\")\n",
    "ax[1].set_title(\"Smoothed grid\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate a mask with all pixels close to any gap is discared\n",
    "#big_mask = numpy.isnan(smooth)\n",
    "big_mask = binary_dilation(numpy.isnan(smooth), iterations=ksize//2+2) #even a bit larger\n",
    "#big_mask = binary_dilation(mask, iterations=ksize) #Extremely conservative !"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Peak position measurement\n",
    "\n",
    "The center of spot is now easily measured by segmenting out the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of region segmented: 837882\n",
      "Number of large enough regions : 5968\n"
     ]
    }
   ],
   "source": [
    "iw = InverseWatershed(smooth)\n",
    "iw.init()\n",
    "iw.merge_singleton()\n",
    "all_regions = set(iw.regions.values())\n",
    "\n",
    "regions = [i for i in all_regions if i.size>mini]\n",
    "\n",
    "print(\"Number of region segmented: %s\"%len(all_regions))\n",
    "print(\"Number of large enough regions : %s\"%len(regions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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9+7SnJaWliiKIg4ePHjB6xKAAJAfAVjmAXjmzJn41re+FVVVVbF///44fPhwFEURra2tveYtXLgwli5dGhERO3fujKIo4tixY73mTJ8+PR588MGIiNi4cWPU1NSc9/Nqampi06ZNF7w+AQgA+RGAZRqAr732Wlx99dUxbNiwqKmpieeeey4iInbt2hVFUURHR0ev+ffcc0/MmzcvIiKefvrpqKqqOu97zp07N5YvXx4REWvXro36+vrz5tTX18e6des+dF3d3d1x4sSJ0mhvbxeAAJAZAVimAXj69On44Q9/GP/yL/8S999/f3zsYx+L/fv3lwKws7Oz1/xly5bF/PnzI+LDA3DOnDmxYsWKiHgvAKdMmXLenMmTJ8fDDz/8oetqamqKoijOGwIQAPIhAMs0AD/ozjvvjOXLl1/2j4C9AwgA+ROAmQTg7Nmz4+677y5dBLJhw4bS106fPt3nRSBbtmwpzens7OzzIpA9e/aU5uzevdtFIABQAQRgGQbgl7/85Xj55ZfjzTffjNdeey0eeOCBGDp0aPzTP/1TRLx3G5iamprYtm1btLW1xeLFi/u8DcyECRPihRdeiNbW1pg9e3aft4GZPn16tLS0REtLS0ybNs1tYACgAgjAMgzAL37xizFx4sSoqqqKj3/843HnnXeW4i/i/90Iura2NkaMGBEzZ86Mtra2Xt/j1KlTsXr16hg7dmyMGjUqGhoa4siRI73mHD16NJYsWVK64fSSJUvcCBoAKoAALMMAzIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgACQHwEoAJMIQADIjwAUgEkEIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgACQHwEoAJMIQADIjwAUgEkEIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8ALMMAXLduXdx6663xkY98JD7+8Y/HL/3SL8XBgwd7zenp6Ymmpqaoq6uLkSNHxqxZs2Lfvn295nR3d8fq1atj3LhxMXr06FiwYEG0t7f3mnPs2LFobGyMMWPGxJgxY6KxsTGOHz9+wWsVgACQHwFYhgE4f/78eOqpp2Lfvn3x/e9/Pz73uc/FJz/5yXj33XdLc9avXx/V1dWxdevWaGtri0WLFkVdXV2cPHmyNGflypUxfvz42LFjR7S2tsYdd9wRM2bMiDNnzpTm3HXXXTF16tRobm6O5ubmmDp1ajQ0NFzwWgUgAORHAJZhAH7Qj3/84yiKIl566aWIeO/dv9ra2li/fn1pTnd3d9TU1MTjjz8eERFdXV0xfPjw2Lx5c2lOR0dHDB06NLZv3x4REQcOHIiiKGL37t2lOS0tLVEUxXnvOH4YAQgA+RGAGQTgD3/4wyiKItra2iIi4vDhw1EURbS2tvaat3Dhwli6dGlEROzcuTOKoohjx471mjN9+vR48MEHIyJi48aNUVNTc97Pq6mpiU2bNvW5lu7u7jhx4kRptLe3C0AAyIwALPMA7OnpiQULFsRnP/vZ0rFdu3ZFURTR0dHRa+4999wT8+bNi4iIp59+Oqqqqs77fnPnzo3ly5dHRMTatWujvr7+vDn19fWxbt26PtfT1NQURVGcNwQgAORDAJZ5AP72b/92TJw4sdfFG+cCsLOzs9fcZcuWxfz58yPiwwNwzpw5sWLFioh4LwCnTJly3pzJkyfHww8/3Od6vAMIAPkTgGUcgKtXr44JEybEG2+80ev45fwI+IP8DiAA5EcAlmEA9vT0xO/8zu/EtddeG4cOHerz67W1tbFhw4bSsdOnT/d5EciWLVtKczo7O/u8CGTPnj2lObt373YRCABc4QRgGQbgqlWroqamJl588cV4++23S+OnP/1pac769eujpqYmtm3bFm1tbbF48eI+bwMzYcKEeOGFF6K1tTVmz57d521gpk+fHi0tLdHS0hLTpk1zGxgAuMIJwDIMwL4usiiKIp566qnSnHM3gq6trY0RI0bEzJkzS1cJn3Pq1KlYvXp1jB07NkaNGhUNDQ1x5MiRXnOOHj0aS5Ysierq6qiuro4lS5a4ETQAXOEEYBkGYE4EIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgACQHwEoAJMIQADIjwAUgEkEIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgACQHwEoAJMIQADIjwAUgEkEIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIwDIMwJdeeikaGhqirq4uiqKIZ599ttfXe3p6oqmpKerq6mLkyJExa9as2LdvX6853d3dsXr16hg3blyMHj06FixYEO3t7b3mHDt2LBobG2PMmDExZsyYaGxsjOPHj/drrQIQAPIjAMswAJ9//vn4yle+Elu3bu0zANevXx/V1dWxdevWaGtri0WLFkVdXV2cPHmyNGflypUxfvz42LFjR7S2tsYdd9wRM2bMiDNnzpTm3HXXXTF16tRobm6O5ubmmDp1ajQ0NPRrrQIQAPIjAMswAN/vgwHY09MTtbW1sX79+tKx7u7uqKmpiccffzwiIrq6umL48OGxefPm0pyOjo4YOnRobN++PSIiDhw4EEVRxO7du0tzWlpaoiiKOHjw4AWvTwACQH4EYGYBePjw4SiKIlpbW3vNW7hwYSxdujQiInbu3BlFUcSxY8d6zZk+fXo8+OCDERGxcePGqKmpOe/n1dTUxKZNmy54fQIQAPIjADMLwF27dkVRFNHR0dFr3j333BPz5s2LiIinn346qqqqzvtec+fOjeXLl0dExNq1a6O+vv68OfX19bFu3boPXU93d3ecOHGiNNrb2wUgAGRGAGYagJ2dnb3mLVu2LObPnx8RHx6Ac+bMiRUrVkTEewE4ZcqU8+ZMnjw5Hn744Q9dT1NTUxRFcd4QgACQDwGYWQBe7o+AvQMIAPkTgJkF4LmLQDZs2FA6dvr06T4vAtmyZUtpTmdnZ58XgezZs6c0Z/fu3S4CAYAKIADLMADfeeed2Lt3b+zduzeKoohvfOMbsXfv3njrrbci4r3bwNTU1MS2bduira0tFi9e3OdtYCZMmBAvvPBCtLa2xuzZs/u8Dcz06dOjpaUlWlpaYtq0aW4DAwAVQACWYQB+97vf7fP37O6+++6I+H83gq6trY0RI0bEzJkzo62trdf3OHXqVKxevTrGjh0bo0aNioaGhjhy5EivOUePHo0lS5ZEdXV1VFdXx5IlS9wIGgAqgAAswwDMiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgACQHwEoAJMIQADIjwAUgEkEIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgACQHwEoAJMIQADIjwAUgEkEIADkRwAKwCQCEADyIwAFYBIBCAD5EYACMIkABID8CEABmEQAAkB+BKAATCIAASA/AlAAJhGAAJAfASgAkwhAAMiPABSASQQgAORHAArAJAIQAPIjAAVgEgEIAPkRgAIwiQAEgPwIQAGYRAACQH4EoABMIgABID8CUAAmEYAAkB8BKACTCEAAyI8AFIBJBCAA5EcACsAkAhAA8iMABWASAQgA+RGAAjCJAASA/AhAAZhEAAJAfgSgAEwiAAEgPwJQACYRgABUmg++NvU1yp0AFIBJBCAAV5ILiTsBeGWo+AB89NFHY9KkSTFixIi45ZZb4uWXX77gxwpAAHJxseLuSohCAVjhAbh58+YYPnx4PPnkk3HgwIFYs2ZNXH311fHWW29d0OMFIADl4HLHXW5BKAArPABvu+22WLlyZa9jN9xwQ9x///0X9HgBCEA5uNwxl1sUCsAKDsDTp0/HsGHDYtu2bb2O33vvvTFz5sw+H9Pd3R0nTpwojSNHjkRRFNHe3t7r+MUaP3Pf/9drXIqfYRiGYVyc8cH/Zhv9H4P1XLW3t0dRFNHV1TUYyVGWKjYAOzo6oiiK2LVrV6/ja9eujSlTpvT5mKampiiKwjAMwzCMK2C0t7cPRnKUpYoPwObm5l7HH3roobj++uv7fMwH3wE8fvx4HD58OLq6ui7q/5FcqncUy2HY45Ux7PHKGFf6Hq/0/dnjwEdXV1e0t7fH2bNnByM5ylLFBuBAPgK+1E6cuPJ/J8Eerwz2eGW40vd4pe8vwh4ZuIoNwIj3LgJZtWpVr2M33njjBV8EcrFVwkluj1cGe7wyXOl7vNL3F2GPDFxFB+C528Bs3LgxDhw4EPfdd19cffXV8aMf/eiyrKcSTnJ7vDLY45XhSt/jlb6/CHtk4Co6ACPeuxH0xIkTo6qqKm655ZZ46aWXLttauru7o6mpKbq7uy/bGi41e7wy2OOV4Urf45W+vwh7ZOAqPgABACqNAAQAqDACEACgwghAAIAKIwABACqMABxkjz76aEyaNClGjBgRt9xyS7z88sv/6/wXX3wxbrnllhgxYkT87M/+bPzlX/7lIK104Pqzx87Ozli8eHFMmTIlhgwZEmvWrBnElQ5cf/a4devWmDNnTnzsYx+L6urquP3222P79u2DuNqB6c8eX3nllfiFX/iFGDt2bIwcOTKuv/76+MY3vjGIqx2Y/v57POfVV1+NYcOGxYwZMw2ckQsAAAjaSURBVC7xCtP0Z3/f/e53+/xTWT/4wQ8GccX919/nsLu7Ox544IH45Cc/GVVVVXHdddfFxo0bB2m1A9OfPd599919Po833XTTIK64//r7PP7t3/5tTJ8+PUaNGhW1tbXxm7/5m/GTn/xkkFZ7ZRCAg+jcfQeffPLJOHDgQKxZsyauvvrqeOutt/qc/8Ybb8To0aNjzZo1ceDAgXjyySdj+PDh8e1vf3uQV37h+rvHN998M+69997467/+6/i5n/u5LAKwv3tcs2ZNbNiwIb73ve/FoUOH4stf/nIMHz48WltbB3nlF66/e2xtbY1nnnkm9u3bF2+++Wb8zd/8TYwePTq++c1vDvLKL1x/93hOV1dXXHfddTFv3ryyDsD+7u9cAL7++uvx9ttvl8aZM2cGeeUXbiDP4cKFC+Mzn/lM7NixI958883Ys2fPeX8Tvpz0d49dXV29nr/29vYYO3ZsNDU1De7C+6G/e3zllVdi6NCh8Wd/9mfxxhtvxCuvvBI333xz/PIv//IgrzxvAnAQ3XbbbbFy5cpex2644YYP/csjv//7vx833HBDr2MrVqyI22+//ZKtMVV/9/h+s2bNyiIAU/Z4zk033RRf/epXL/bSLpqLscdf+ZVficbGxou9tItmoHtctGhR/OEf/mE0NTWVdQD2d3/nAvD48eODsbyLor97/Md//MeoqamJo0ePDsbyLorUf4vPPvtsDBky5LL9gYML0d89/vEf/3Fcd911vY498sgjMWHChEu2xiuRABwkA/nbw7/4i78Y9957b69j27Zti6uuuir++7//+5KtdaBS/75yDgF4Mf6G9NmzZ+NnfuZn4s///M8vxRKTXYw9tra2xjXXXBNPPvnkpVhisoHucdOmTXHrrbfG//zP/5R1AA5kf+cCcNKkSVFbWxuzZ8+Of/7nfx6M5Q7IQPa4atWquPPOO+MP/uAP4tprr436+vr40pe+FD/96U8HY8n9djH+LTY0NMTcuXMvxfIuioHscdeuXVFVVRXPPfdc9PT0xH/+53/GzJkzY8WKFYOx5CuGABwkHR0dURTFeR81rF27NqZMmdLnY+rr62Pt2rW9ju3atSuKoojOzs5LttaBGsge3y+HAEzdY0TE17/+9Rg7dmz813/916VYYrKUPY4fPz6qqqpi6NCh8bWvfe1SLjPJQPZ46NCh+MQnPhGvv/56RERZB+BA9nfw4MF44okn4l//9V+jubk5Vq1aFUOGDLmsfx3pfzOQPc6fPz9GjBgRn/vc52LPnj3x3HPPxcSJE+O3fuu3BmPJ/Zb635vOzs4YNmxYbNmy5VItMdlA9/h3f/d38ZGPfCSuuuqqKIoiFi5cWJZvjJQzAThIzp3kzc3NvY4/9NBDcf311/f5mPr6+li3bl2vY6+++moURRFvv/32JVvrQA1kj++XUwAOdI/PPPNMjB49Onbs2HGplpgsZY9vvPFGvPbaa/HEE0/E2LFj45lnnrmUSx2w/u7xzJkzceutt/a6CCuHABzoeXpOQ0NDLFiw4GIv76IYyB7nzp0bI0eOjK6urtKxrVu3xpAhQ8ryXcDU53HdunUxbty4OH369KVaYrKB7HH//v1RV1cXX//61+Pf/u3fYvv27TFt2rT44he/OBhLvmIIwEHiI2AfAW/evDlGjRoV//AP/3Apl5jsYnzsFBHxR3/0Rxf8ruhg6+8ejx8/HkVRxLBhw0pjyJAhpWM7d+4crKVfkIv1HD700EPn/R5yuRjIHpcuXRqf+tSneh07cOBAFEURhw4dumRrHaiU57GnpycmT54c991336VcYrKB7LGxsTG+8IUv9Dr2yiuvlO2nY+VKAA6i2267LVatWtXr2I033vi/XgRy44039jq2cuXKsr8IpD97fL8cAjBiYHt85plnYuTIkfHss89e6uVdFCnP4zlf+9rXYuLEiRd5ZRdPf/Z49uzZaGtr6zVWrVoV119/fbS1tcW77747WMu+YBfjOfzVX/3VuOOOOy720i6a/u7xm9/8ZowaNSreeeed0rG///u/j6FDh5blO4ARA38ez/1OZ1tb26Vc3kXR3z1+/vOfj1/7tV/rday5uTmKooiOjo5Lts4rjQAcROcudd+4cWMcOHAg7rvvvrj66qtLV2fdf//98Ru/8Rul+eduA/O7v/u7ceDAgdi4cWM2t4G50D1GROzduzf27t0bP//zPx+//uu/Hnv37o39+/dfjuVfkP7u8ZlnnomrrroqHn300V63Z3j/x1Dlpr97/Iu/+Iv4zne+E4cOHYpDhw7Fpk2bYsyYMfGVr3zlcm3h/zSQc/X9yvkj4Ij+7+9P//RP49lnn41Dhw7Fvn374v7774+iKGLr1q2Xawv/p/7u8Z133okJEybEF77whdi/f3+89NJLUV9fH8uWLbtcW/g/DfQ8bWxsjM985jODvdwB6e8en3rqqbjqqqvisccei8OHD8err74at956a9x2222XawtZEoCD7NFHH42JEydGVVVV3HLLLb1+wfruu++OWbNm9Zr/4osvxqc//emoqqqKSZMmZXMj6P7ssa+blpbzO0cR/dvjrFmz+tzj3XffPfgL74f+7PGRRx6Jm2++OUaPHh1jxoyJT3/60/HYY4/F2bNnL8PKL1x/z9X3K/cAjOjf/jZs2BCf+tSnYuTIkfHRj340PvvZz8Zzzz13GVbdP/19Dn/wgx/EnDlzYtSoUTFhwoT4vd/7vbJ99++c/u6xq6srRo0aFU888cQgr3Tg+rvHRx55JG666aYYNWpU1NXVxZIlS+I//uM/BnnVeROAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhRGAAAAVRgACAFQYAQgAUGEEIABAhfn/Acx4/k8Xm+t5AAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram of peak height:\n",
    "s = numpy.array([i.maxi for i in regions])\n",
    "\n",
    "fig, ax = subplots()\n",
    "ax.hist(s, 100)\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of remaining peaks with I>0.5: 694\n"
     ]
    }
   ],
   "source": [
    "#Sieve-out for peak intensity\n",
    "int_mini = 0.5\n",
    "\n",
    "peaks = [(i.index//width, i.index%width) for i in regions if (i.maxi)>int_mini and \n",
    "                             not big_mask[(i.index//width, i.index%width)]]\n",
    "print(\"Number of remaining peaks with I>%s: %s\"%(int_mini, len(peaks)))\n",
    "\n",
    "peaks_raw = numpy.array(peaks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "About 800 spots were found as valid out of a maximum of 1024 (64 chips with 16 spots per chip)\n",
    "\n",
    "Those spot positions are interpolated using a second order taylor expansion in the region around the maximum value of the smoothed image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use a bilinear interpolator to localize/refine the maxima\n",
    "bl = Bilinear(smooth)\n",
    "ref_peaks = [bl.local_maxi(p) for p in peaks]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refined peak coordinate: [(35.685219407081604, 926.1952172219753), (35.78912889957428, 993.4327814280987), (35.97768804244697, 1060.179537087679), (36.05387208610773, 1127.3943344652653), (36.21792732179165, 1194.6735018193722), (36.40029862523079, 1261.8895630538464), (36.59907326102257, 1329.1165300160646), (36.67006212472916, 1396.3771429657936), (36.97551264986396, 1530.8204399496317), (37.13566243648529, 1598.017841808498)] ...\n"
     ]
    }
   ],
   "source": [
    "#Overlay raw peak coordinate and refined peak positions\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow(normalized, **mpl)\n",
    "peaks_ref = numpy.array(ref_peaks)\n",
    "ax.plot(peaks_raw[:,1], peaks_raw[:, 0], \".r\")\n",
    "ax.plot(peaks_ref[:,1],peaks_ref[:, 0], \".b\")\n",
    "ax.set_title(\"Extracted peak position (red: raw, blue: refined)\")\n",
    "print(\"Refined peak coordinate:\", ref_peaks[:10], \"...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this stage we have about 800 peaks (with sub-pixel precision) which are visually distributed on all modules and on all chips.\n",
    "We could have expected 16*64=1024 hence most of the spots were properly located.\n",
    "\n",
    "Let's assign each peak to a module identifier. This allows to print out the number of peaks per module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64 chips have been labeled\n"
     ]
    }
   ],
   "source": [
    "#Module identification\n",
    "mid, cnt = label(numpy.isfinite(normalized), structure=numpy.ones((3,3), dtype=int))\n",
    "print(cnt, \"chips have been labeled\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill the gaps in module identification array\n",
    "\n",
    "#From http://stackoverflow.com/questions/3662361/fill-in-missing-values-with-nearest-neighbour-in-python-numpy-masked-arrays\n",
    "def fill(data, invalid=None):\n",
    "    \"\"\"\n",
    "    Replace the value of invalid 'data' cells (indicated by 'invalid') \n",
    "    by the value of the nearest valid data cell\n",
    "\n",
    "    Input:\n",
    "        data:    numpy array of any dimension\n",
    "        invalid: a binary array of same shape as 'data'. True cells set where data\n",
    "                 value should be replaced.\n",
    "                 If None (default), use: invalid  = np.isnan(data)\n",
    "\n",
    "    Output: \n",
    "        Return a filled array. \n",
    "    \"\"\"\n",
    "\n",
    "    if invalid is None: \n",
    "        invalid = numpy.isnan(data)\n",
    "\n",
    "    ind = distance_transform_edt(invalid, return_distances=False, return_indices=True)\n",
    "    return data[tuple(ind)]\n",
    "\n",
    "filled_mid = fill(mid, invalid=mid==0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots(1, 2, figsize=(10,5))\n",
    "ax[0].imshow(mid, **mpl)\n",
    "ax[0].set_title(\"Chip identification number\")\n",
    "ax[1].imshow(filled_mid, **mpl)\n",
    "ax[1].set_title(\"Filled-gaps version\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of keypoint per chip:\n",
      "Chip id:  1 \t Number of spots: 12\n",
      "Chip id:  2 \t Number of spots: 12\n",
      "Chip id:  3 \t Number of spots: 12\n",
      "Chip id:  4 \t Number of spots: 15\n",
      "Chip id:  5 \t Number of spots: 12\n",
      "Chip id:  6 \t Number of spots: 12\n",
      "Chip id:  7 \t Number of spots:  9\n",
      "Chip id:  8 \t Number of spots:  9\n",
      "Chip id:  9 \t Number of spots:  9\n",
      "Chip id: 10 \t Number of spots:  9\n",
      "Chip id: 11 \t Number of spots:  8\n",
      "Chip id: 12 \t Number of spots: 12\n",
      "Chip id: 13 \t Number of spots: 12\n",
      "Chip id: 14 \t Number of spots: 11\n",
      "Chip id: 15 \t Number of spots:  9\n",
      "Chip id: 16 \t Number of spots:  9\n",
      "Chip id: 17 \t Number of spots: 12\n",
      "Chip id: 18 \t Number of spots: 12\n",
      "Chip id: 19 \t Number of spots: 12\n",
      "Chip id: 20 \t Number of spots: 14\n",
      "Chip id: 21 \t Number of spots: 15\n",
      "Chip id: 22 \t Number of spots: 15\n",
      "Chip id: 23 \t Number of spots: 11\n",
      "Chip id: 24 \t Number of spots: 12\n",
      "Chip id: 25 \t Number of spots: 12\n",
      "Chip id: 26 \t Number of spots: 12\n",
      "Chip id: 27 \t Number of spots: 12\n",
      "Chip id: 28 \t Number of spots: 12\n",
      "Chip id: 29 \t Number of spots: 16\n",
      "Chip id: 30 \t Number of spots: 16\n",
      "Chip id: 31 \t Number of spots: 11\n",
      "Chip id: 32 \t Number of spots:  9\n",
      "Chip id: 33 \t Number of spots:  8\n",
      "Chip id: 34 \t Number of spots:  7\n",
      "Chip id: 35 \t Number of spots:  8\n",
      "Chip id: 36 \t Number of spots:  9\n",
      "Chip id: 37 \t Number of spots: 12\n",
      "Chip id: 38 \t Number of spots: 12\n",
      "Chip id: 39 \t Number of spots:  9\n",
      "Chip id: 40 \t Number of spots:  9\n",
      "Chip id: 41 \t Number of spots:  8\n",
      "Chip id: 42 \t Number of spots:  9\n",
      "Chip id: 43 \t Number of spots: 12\n",
      "Chip id: 44 \t Number of spots: 12\n",
      "Chip id: 45 \t Number of spots: 16\n",
      "Chip id: 46 \t Number of spots: 16\n",
      "Chip id: 47 \t Number of spots: 11\n",
      "Chip id: 48 \t Number of spots: 12\n",
      "Chip id: 49 \t Number of spots:  9\n",
      "Chip id: 50 \t Number of spots:  9\n",
      "Chip id: 51 \t Number of spots:  9\n",
      "Chip id: 52 \t Number of spots:  9\n",
      "Chip id: 53 \t Number of spots: 11\n",
      "Chip id: 54 \t Number of spots: 11\n",
      "Chip id: 55 \t Number of spots:  9\n",
      "Chip id: 56 \t Number of spots:  9\n",
      "Chip id: 57 \t Number of spots:  9\n",
      "Chip id: 58 \t Number of spots:  9\n",
      "Chip id: 59 \t Number of spots:  9\n",
      "Chip id: 60 \t Number of spots:  8\n",
      "Chip id: 61 \t Number of spots:  9\n",
      "Chip id: 62 \t Number of spots: 12\n",
      "Chip id: 63 \t Number of spots:  8\n",
      "Chip id: 64 \t Number of spots:  9\n"
     ]
    }
   ],
   "source": [
    "yxi = numpy.array([i+(mid[round(i[0]),round(i[1])],) \n",
    "                   for i in ref_peaks], dtype=dt)\n",
    "print(\"Number of keypoint per chip:\")\n",
    "for i in range(1, cnt+1):\n",
    "    print(f\"Chip id: {i:2d} \\t Number of spots: {(yxi[:]['i'] == i).sum():2d}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grid assignment\n",
    "\n",
    "The calibration is performed using a regular grid, the idea is to assign to each peak of coordinates (x,y) the integer value (X, Y) which correspond to the grid corrdinate system.\n",
    "\n",
    "The first step is to measure the grid pitch which correspond to the distance (in pixels) from one peak to the next. This is easily obtained from a pair-wise distribution function.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pairwise distance calculation using scipy.spatial.distance_matrix\n",
    "\n",
    "dist = distance_matrix(peaks_ref, peaks_ref)\n",
    "\n",
    "fig, ax = subplots()\n",
    "ax.hist(dist.ravel(), 200, range=(0,200))\n",
    "ax.set_title(\"Pair-wise distribution function\")\n",
    "ax.set_xlabel(\"Distance (pixel)\")\n",
    "ax.set_ylabel(\"Occurances\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The histogram of the pair-distribution function has a first peak at 0 and the second peak between 66 and 67.\n",
    "The value of the step size is taken as the average of this second peak in the histogram as it correspond to the first neighbour distance.\n",
    "\n",
    "Two other parameters correspond to the offset, in pixels, for the grid index (X,Y) = (0,0). The easiest is to measure the smallest x and y for the first chip.\n",
    "\n",
    "The grid looks pretty well aligned with the detector, so we will not take into account the rotation of the grid with the detector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average step size 67.2043508651196 ± 0.07395487014128002  pixels, condidering  2170 paires\n"
     ]
    }
   ],
   "source": [
    "#from pair-wise distribution histogram\n",
    "valid_pairs = dist[numpy.logical_and(60<dist, dist<70)]\n",
    "step = valid_pairs.mean()\n",
    "print(\"Average step size\", step, \"±\", valid_pairs.std(), \" pixels, condidering \", valid_pairs.size, \"paires\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average step size 67.20456994646801 ± 0.060251562866079335  pixels, condidering  1888 paires\n"
     ]
    }
   ],
   "source": [
    "#Refinement of the step size when considering only intra-chip distances.\n",
    "distances = []\n",
    "for i in range(1, cnt+1):\n",
    "    locale = yxi[yxi[:][\"i\"] == i]\n",
    "    xy = tmp = numpy.vstack((locale[\"x\"], locale[\"y\"])).T\n",
    "    ldist = distance_matrix(tmp, tmp)\n",
    "    distances.append(ldist[numpy.logical_and(60<ldist, ldist<70)])\n",
    "valid_pairs = numpy.concatenate(distances)\n",
    "step = valid_pairs.mean()\n",
    "print(\"Average step size\", step, \"±\", valid_pairs.std(), \" pixels, condidering \", valid_pairs.size, \"paires\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is interesting to note the standard deviation (0.12) corresponds to the precision of our measurement. \n",
    "\n",
    "Any tweaking when defining the kernel prior to the convolution should be checked against this error.\n",
    "\n",
    "Finally, it will not be possible to calibrate with a precision better than 0.12 pixel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "offset for the first spot:  52.002443285193294 32.73367238044739\n"
     ]
    }
   ],
   "source": [
    "#work with the first module and fit the peak positions\n",
    "first = yxi[yxi[:][\"i\"] == 1]\n",
    "y_min = first[:][\"y\"].min()\n",
    "x_min = first[:][\"x\"].min()\n",
    "print(\"offset for the first spot: \", x_min, y_min)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The grid looks very well aligned with the axes which makes this step easier but nothing garanties it is perfect, so the rotation of the grid has to be measured as well.\n",
    "We will use Kabsch's algoritm for this: https://en.wikipedia.org/wiki/Kabsch_algorithm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 0 ns, sys: 474 µs, total: 474 µs\n",
      "Wall time: 466 µs\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Rigid transformation of angle -0.167° and translation [[-0.67497994  0.07186018]], RMSD=0.168643"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reference_1 = numpy.empty((first.size, 2))\n",
    "measured_1 = numpy.empty((first.size, 2))\n",
    "measured_1[:, 0] = first[:][\"x\"]\n",
    "measured_1[:, 1] = first[:][\"y\"]\n",
    "reference_1[:, 0] = numpy.round((first[:][\"x\"]-x_min)/step)*step+x_min\n",
    "reference_1[:, 1] = numpy.round((first[:][\"y\"]-y_min)/step)*step+y_min\n",
    "%time Kabsch(reference_1, measured_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chip: 01 \t Rmsd: 0.1686 \t Angle: -0.1671°\t Displacement: [[-0.67497994  0.07186018]]\n",
      "Chip: 02 \t Rmsd: 0.1700 \t Angle: -0.1780°\t Displacement: [[-0.74921418  0.03713335]]\n",
      "Chip: 03 \t Rmsd: 0.1497 \t Angle: -0.1825°\t Displacement: [[-0.65099039 -0.06528471]]\n",
      "Chip: 04 \t Rmsd: 0.1674 \t Angle: -0.1775°\t Displacement: [[-0.60887024 -0.07475025]]\n",
      "Chip: 05 \t Rmsd: 0.1677 \t Angle: -0.1230°\t Displacement: [[-0.2155431  -0.96577617]]\n",
      "Chip: 06 \t Rmsd: 0.1752 \t Angle: -0.1200°\t Displacement: [[-0.29661047 -1.06085984]]\n",
      "Chip: 07 \t Rmsd: 0.1720 \t Angle: -0.1461°\t Displacement: [[-0.44852505 -0.32922427]]\n",
      "Chip: 08 \t Rmsd: 0.1676 \t Angle: -0.1368°\t Displacement: [[-0.6149567 -0.5646288]]\n",
      "Chip: 09 \t Rmsd: 0.1153 \t Angle: -0.1940°\t Displacement: [[-0.79676554  0.08513204]]\n",
      "Chip: 10 \t Rmsd: 0.1765 \t Angle: -0.1774°\t Displacement: [[-0.71245072  0.00897699]]\n",
      "Chip: 11 \t Rmsd: 0.2042 \t Angle: -0.1751°\t Displacement: [[-0.60947848 -0.15400732]]\n",
      "Chip: 12 \t Rmsd: 0.1760 \t Angle: -0.1781°\t Displacement: [[-0.61303734 -0.12631241]]\n",
      "Chip: 13 \t Rmsd: 0.1268 \t Angle: -0.1568°\t Displacement: [[-0.31260693 -0.36297762]]\n",
      "Chip: 14 \t Rmsd: 0.1654 \t Angle: -0.1438°\t Displacement: [[-0.31433861 -0.55288372]]\n",
      "Chip: 15 \t Rmsd: 0.2010 \t Angle: -0.1401°\t Displacement: [[-0.31686981 -0.59292319]]\n",
      "Chip: 16 \t Rmsd: 0.1929 \t Angle: -0.1305°\t Displacement: [[-0.42567452 -0.89339016]]\n",
      "Chip: 17 \t Rmsd: 0.1766 \t Angle: -0.1284°\t Displacement: [[-0.46335342 -0.51966357]]\n",
      "Chip: 18 \t Rmsd: 0.1020 \t Angle: -0.1373°\t Displacement: [[-0.53954452 -0.53739996]]\n",
      "Chip: 19 \t Rmsd: 0.1716 \t Angle: -0.1239°\t Displacement: [[ 0.17706261 -0.62645138]]\n",
      "Chip: 20 \t Rmsd: 0.1462 \t Angle: -0.1442°\t Displacement: [[ 4.30001985e-05 -3.76928307e-01]]\n",
      "Chip: 21 \t Rmsd: 0.1495 \t Angle: -0.0817°\t Displacement: [[ 0.55413868 -1.64901923]]\n",
      "Chip: 22 \t Rmsd: 0.1499 \t Angle: -0.0866°\t Displacement: [[ 0.43992015 -1.50747438]]\n",
      "Chip: 23 \t Rmsd: 0.1308 \t Angle: -0.1634°\t Displacement: [[-0.74590415  0.16988309]]\n",
      "Chip: 24 \t Rmsd: 0.1719 \t Angle: -0.1781°\t Displacement: [[-1.05131976  0.72483714]]\n",
      "Chip: 25 \t Rmsd: 0.1456 \t Angle: -0.1400°\t Displacement: [[-0.62572943 -0.46928429]]\n",
      "Chip: 26 \t Rmsd: 0.1498 \t Angle: -0.1309°\t Displacement: [[-0.43446366 -0.53914245]]\n",
      "Chip: 27 \t Rmsd: 0.1607 \t Angle: -0.1452°\t Displacement: [[-0.09622415 -0.35779262]]\n",
      "Chip: 28 \t Rmsd: 0.1221 \t Angle: -0.1419°\t Displacement: [[ 0.02043876 -0.39043754]]\n",
      "Chip: 29 \t Rmsd: 0.1794 \t Angle: -0.0781°\t Displacement: [[ 0.63745858 -1.73856713]]\n",
      "Chip: 30 \t Rmsd: 0.1620 \t Angle: -0.0735°\t Displacement: [[ 0.67171839 -1.87340998]]\n",
      "Chip: 31 \t Rmsd: 0.1269 \t Angle: -0.1618°\t Displacement: [[-0.7055688  0.0634569]]\n",
      "Chip: 32 \t Rmsd: 0.1447 \t Angle: -0.1717°\t Displacement: [[-1.01208589  0.43229265]]\n",
      "Chip: 33 \t Rmsd: 0.1357 \t Angle: -0.1815°\t Displacement: [[-1.61244846  0.11897147]]\n",
      "Chip: 34 \t Rmsd: 0.1148 \t Angle: -0.1882°\t Displacement: [[-1.67635079  0.23214936]]\n",
      "Chip: 35 \t Rmsd: 0.1036 \t Angle: -0.1539°\t Displacement: [[-0.49352376 -0.01604218]]\n",
      "Chip: 36 \t Rmsd: 0.1236 \t Angle: -0.1707°\t Displacement: [[-0.76096912  0.14619786]]\n",
      "Chip: 37 \t Rmsd: 0.1514 \t Angle: -0.1699°\t Displacement: [[-0.69792424  0.34019805]]\n",
      "Chip: 38 \t Rmsd: 0.1116 \t Angle: -0.1684°\t Displacement: [[-0.67474119  0.27075934]]\n",
      "Chip: 39 \t Rmsd: 0.0917 \t Angle: -0.1862°\t Displacement: [[-1.01621214  0.73367126]]\n",
      "Chip: 40 \t Rmsd: 0.1253 \t Angle: -0.1890°\t Displacement: [[-1.22622632  0.86035059]]\n",
      "Chip: 41 \t Rmsd: 0.0807 \t Angle: -0.1573°\t Displacement: [[-1.09985355  0.17426843]]\n",
      "Chip: 42 \t Rmsd: 0.1492 \t Angle: -0.1626°\t Displacement: [[-1.13827667  0.14404889]]\n",
      "Chip: 43 \t Rmsd: 0.1492 \t Angle: -0.1606°\t Displacement: [[-0.57011904  0.12664132]]\n",
      "Chip: 44 \t Rmsd: 0.1851 \t Angle: -0.1683°\t Displacement: [[-0.6639394   0.17390498]]\n",
      "Chip: 45 \t Rmsd: 0.2012 \t Angle: -0.1762°\t Displacement: [[-0.81853951  0.50822761]]\n",
      "Chip: 46 \t Rmsd: 0.1816 \t Angle: -0.1815°\t Displacement: [[-0.94192169  0.62135706]]\n",
      "Chip: 47 \t Rmsd: 0.1697 \t Angle: -0.2028°\t Displacement: [[-1.40784605  1.24631814]]\n",
      "Chip: 48 \t Rmsd: 0.1306 \t Angle: -0.1945°\t Displacement: [[-1.31176578  1.01794192]]\n",
      "Chip: 49 \t Rmsd: 0.0782 \t Angle: -0.0883°\t Displacement: [[1.49863622 0.16646773]]\n",
      "Chip: 50 \t Rmsd: 0.1743 \t Angle: -0.1107°\t Displacement: [[0.89642799 0.31751481]]\n",
      "Chip: 51 \t Rmsd: 0.1342 \t Angle: -0.2044°\t Displacement: [[-2.14953055  0.86171077]]\n",
      "Chip: 52 \t Rmsd: 0.1344 \t Angle: -0.1917°\t Displacement: [[-1.64335442  0.68376074]]\n",
      "Chip: 53 \t Rmsd: 0.1061 \t Angle: -0.1136°\t Displacement: [[ 0.93232019 -0.98275186]]\n",
      "Chip: 54 \t Rmsd: 0.1152 \t Angle: -0.1206°\t Displacement: [[ 0.74155689 -0.79061776]]\n",
      "Chip: 55 \t Rmsd: 0.1241 \t Angle: -0.2007°\t Displacement: [[-1.86969577  1.61932687]]\n",
      "Chip: 56 \t Rmsd: 0.1421 \t Angle: -0.1893°\t Displacement: [[-1.60803377  1.33258441]]\n",
      "Chip: 57 \t Rmsd: 0.2186 \t Angle: -0.0903°\t Displacement: [[1.36871805 0.35389093]]\n",
      "Chip: 58 \t Rmsd: 0.1196 \t Angle: -0.0855°\t Displacement: [[1.6901985  0.28538162]]\n",
      "Chip: 59 \t Rmsd: 0.1319 \t Angle: -0.2039°\t Displacement: [[-2.21352224  0.98072731]]\n",
      "Chip: 60 \t Rmsd: 0.0819 \t Angle: -0.2061°\t Displacement: [[-2.1857655   1.07053516]]\n",
      "Chip: 61 \t Rmsd: 0.1039 \t Angle: -0.1186°\t Displacement: [[ 0.72715902 -0.71879564]]\n",
      "Chip: 62 \t Rmsd: 0.1390 \t Angle: -0.0928°\t Displacement: [[ 1.71978547 -1.34312403]]\n",
      "Chip: 63 \t Rmsd: 0.1082 \t Angle: -0.1894°\t Displacement: [[-1.54608151  1.45526073]]\n",
      "Chip: 64 \t Rmsd: 0.1298 \t Angle: -0.1988°\t Displacement: [[-1.87932318  1.79230629]]\n"
     ]
    }
   ],
   "source": [
    "# Print alignment info for  all chips:\n",
    "kabsch_results = {}\n",
    "raw_distances = []\n",
    "distances = []\n",
    "for i in range(1, cnt+1):\n",
    "    local = yxi[yxi[:][\"i\"] == i]\n",
    "    reference = numpy.empty((local.size, 2))\n",
    "    measured = numpy.empty((local.size, 2))\n",
    "    measured[:, 0] = local[:][\"x\"]\n",
    "    measured[:, 1] = local[:][\"y\"]\n",
    "    reference[:, 0] = numpy.round((local[:][\"x\"]-x_min)/step)*step+x_min\n",
    "    reference[:, 1] = numpy.round((local[:][\"y\"]-y_min)/step)*step+y_min\n",
    "    raw_distances.append(numpy.sqrt(((reference-measured)**2).sum(axis=-1)))\n",
    "    res = kabsch_results[i] = Kabsch(reference, measured)\n",
    "    print(f\"Chip: {i:02d} \\t Rmsd: {res.rmsd:.4f} \\t Angle: {res.angle:.4f}°\\t Displacement: {res.translation}\")\n",
    "    distances.append(numpy.sqrt(((reference-res.correct(measured))**2).sum(axis=-1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                'This browser does not support binary websocket messages. ' +\n",
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       "            'box-sizing: content-box;' +\n",
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       "            'min-width: 1px;' +\n",
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       "    this.root.appendChild(canvas_div);\n",
       "\n",
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       "    canvas.classList.add('mpl-canvas');\n",
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       "\n",
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       "        this.context.mozBackingStorePixelRatio ||\n",
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       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
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       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
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       "\n",
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       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndistances = numpy.concatenate(distances)\n",
    "nraw_distances = numpy.concatenate(raw_distances)\n",
    "\n",
    "fig, ax = subplots()\n",
    "ax.hist(nraw_distances, bins=100, label=\"raw positions\")\n",
    "ax.hist(ndistances, bins=100, label=\"refined positions\")\n",
    "ax.set_title(\"Histogram of displacement\")\n",
    "ax.set_xlabel(\"Distance in pixels\")\n",
    "ax.set_ylabel(\"Number of spots\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reconstruction of the pixel position\n",
    "\n",
    "The pixel position can be obtained from the standard Pilatus detector. Each module is then displaced according to the fitted values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.58 s, sys: 124 ms, total: 1.7 s\n",
      "Wall time: 1.7 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "pixel_coord = pyFAI.detector_factory(\"Eiger2CdTe_4M\").get_pixel_corners().astype(numpy.float64)\n",
    "pixel_coord_raw = pixel_coord.copy()\n",
    "\n",
    "for module in range(1, cnt+1):\n",
    "    # Extract the pixel corners for one module\n",
    "    module_idx = numpy.where(filled_mid  == module)\n",
    "    one_module = pixel_coord_raw[module_idx]\n",
    "\n",
    "\n",
    "    #retrieve the fitted values\n",
    "    res = kabsch_results[module]\n",
    "\n",
    "    #z = one_module[...,0]\n",
    "    y = one_module[...,1].ravel()/eiger2.pixel1\n",
    "    x = one_module[...,2].ravel()/eiger2.pixel2\n",
    "    xy_initial = numpy.vstack((x, y)).T\n",
    "    xy_aligned = res.correct(xy_initial)\n",
    "    \n",
    "    one_module[...,1] = (xy_aligned[:,1] * eiger2.pixel1).reshape(one_module.shape[:-1])\n",
    "    one_module[...,2] = (xy_aligned[:,0] * eiger2.pixel2).reshape(one_module.shape[:-1])\n",
    "    #Update the array\n",
    "    pixel_coord[module_idx] = one_module"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# displacement for every pixel corner (before/after global displacement):\n",
    "displ_refined = numpy.sqrt(((pixel_coord - pixel_coord_raw)**2).sum(axis=-1))/eiger2.pixel1\n",
    "\n",
    "global_ref = Kabsch(pixel_coord_raw.reshape((-1, 3)), pixel_coord.reshape((-1, 3)))\n",
    "new_pixel_coord = global_ref.correct(pixel_coord.reshape((-1, 3))).reshape(pixel_coord_raw.shape)\n",
    "displ_aligned = numpy.sqrt(((new_pixel_coord - pixel_coord_raw)**2).sum(axis=-1))/eiger2.pixel1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
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       "\n",
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       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
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       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
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       "            'position: relative;' +\n",
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       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
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       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
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       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "ax.hist(displ_refined.ravel(), 100, label=\"refined before alignment\")\n",
    "ax.hist(displ_aligned.ravel(), 100, label=\"refined after alignement\")\n",
    "ax.set_title(\"Displacement of pixel corners versus a regular pixel layout\")\n",
    "ax.set_xlabel(\"Distance in pixels\")\n",
    "ax.set_ylabel(\"Number of corners of pixels\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Validation of the distortion\n",
    "\n",
    "To validate the new pixel layout, we can use the new grid to calculate the spot postition in space and look how well aligned they are.\n",
    "\n",
    "First we build a function which performes the bilinear interpolation of any detector coordinate (return a 3D position). This function is then used to calculate the position for the original grid and for the corrected grid.\n",
    "\n",
    "As previouly, all spot distances are calculated and histogrammed. The standard deviation is used to evaluate how much was gained.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.00000000e+00, 7.42500035e-05, 7.50000036e-07])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def intepolate_3d(yx, coord=pixel_coord_raw):\n",
    "    y,x = yx\n",
    "    X = int(x)\n",
    "    Y = int(y)\n",
    "    pixel =  coord[Y,X]\n",
    "    #print(pixel)\n",
    "    dx = x - X\n",
    "    dy = y - Y\n",
    "    res = pixel[0]*(1.0-dx)*(1.0-dy)+\\\n",
    "          pixel[3]*dx*(1.0-dy)+\\\n",
    "          pixel[1]*(1.0-dx)*dy+\\\n",
    "          pixel[2]*dx*dy\n",
    "    return res\n",
    "intepolate_3d((0.99,0.01))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_pixel_64 = pixel_coord_raw.astype(\"float64\")/eiger2.pixel1\n",
    "new_pixel_64 = new_pixel_coord.astype(\"float64\")/eiger2.pixel1\n",
    "\n",
    "spot3d_raw = numpy.array([intepolate_3d(i, coord=raw_pixel_64) for i in ref_peaks])\n",
    "spot3d_ref = numpy.array([intepolate_3d(i, coord=new_pixel_64) for i in ref_peaks])\n",
    "\n",
    "dist_raw = distance_matrix(spot3d_raw, spot3d_raw)\n",
    "valid_raw = dist_raw[numpy.logical_and(65<dist_raw, dist_raw<70)]\n",
    "\n",
    "dist_ref = distance_matrix(spot3d_ref, spot3d_ref)\n",
    "valid_ref = dist_ref[numpy.logical_and(65<dist_ref, dist_ref<70)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots()\n",
    "h_raw = numpy.histogram(valid_raw, 100, range=(66, 68))\n",
    "h_ref = numpy.histogram(valid_ref, 100, range=(66, 68))\n",
    "x = 0.5*(h_raw[1][1:]+h_raw[1][:-1])\n",
    "ax.plot(x, h_raw[0], label=\"raw\")\n",
    "ax.plot(x, h_ref[0], label=\"ref\", alpha=0.8)\n",
    "ax.legend()\n",
    "ax.set_title(\"Spot distance\")\n",
    "ax.set_xlabel(\"Distance in pixels\")\n",
    "ax.set_ylabel(\"occurance\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance before: 67.2044 after 67.2035,\n",
      "Deviation before 0.0740, after 0.0607\n"
     ]
    }
   ],
   "source": [
    "print(f\"Distance before: {valid_raw.mean():.4f} after {valid_ref.mean():.4f},\\nDeviation before {valid_raw.std():.4f}, after {valid_ref.std():.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Saving of the result as a distortion file usable in pyFAI\n",
    "dest = \"Eiger2CdTe_4M_ID11.h5\"\n",
    "if os.path.exists(dest):\n",
    "    os.unlink(dest)\n",
    "eiger2.set_pixel_corners(new_pixel_coord.astype(numpy.float32))\n",
    "eiger2.mask = eiger2.calc_mask() + flat>(flat.max()*0.9)\n",
    "eiger2.save(dest)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The distortion measured on the Eiger2 CdTe 4M detector for ID11 looks so small that it hardly deserves correction for module misalignment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 69.999s\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total execution time: {time.perf_counter()-start_time:.3f}s\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1+"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}