ScalarFieldView
: 3D volume scalar data viewer¶
This module provides a window to view a 3D scalar field.
It supports iso-surfaces, a cutting plane and the definition of a region of interest.
For sample code using ScalarFieldView, see silx.gui.plot3d sample code
ScalarFieldView
¶
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class
ScalarFieldView
(parent=None)[source]¶ Bases:
silx.gui.plot3d.Plot3DWindow.Plot3DWindow
Widget computing and displaying an iso-surface from a 3D scalar dataset.
Limitation: Currently, iso-surfaces are generated with higher values than the iso-level ‘inside’ the surface.
Parameters: parent – See QMainWindow
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sigDataChanged
¶ Signal emitted when the scalar data field has changed.
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sigTransformChanged
¶ Signal emitted when the transformation has changed.
It is emitted by
setTranslation()
,setTransformMatrix()
,setScale()
.
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sigSelectedRegionChanged
¶ Signal emitted when the selected region has changed.
This signal provides the new selected region.
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saveConfig
(ioDevice)[source]¶ Saves this view state. Only isosurfaces at the moment. Does not save the isosurface’s function.
Parameters: ioDevice (qt.QIODevice) – A qt.QIODevice.
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loadConfig
(ioDevice)[source]¶ Loads this view state. See ScalarFieldView.saveView to know what is supported at the moment.
Parameters: ioDevice (qt.QIODevice) – A qt.QIODevice.
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setInteractiveMode
(mode)[source]¶ Choose the current interaction.
Parameters: mode (str) – Either rotate, pan or plane
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getInteractiveMode
()[source]¶ Returns the current interaction mode, see
setInteractiveMode()
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setData
(data, copy=True)[source]¶ Set the 3D scalar data set to use for building the iso-surface.
Dataset order is zyx (i.e., first dimension is z).
Parameters: - data (3D numpy.ndarray of float32 with shape at least (2, 2, 2)) – scalar field from which to extract the iso-surface
- copy (bool) – True (default) to make a copy, False to avoid copy (DO NOT MODIFY data afterwards)
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getData
(copy=True)[source]¶ Get the 3D scalar data currently used to build the iso-surface.
Parameters: copy (bool) – True (default) to get a copy, False to get the internal data (DO NOT modify!) Returns: The data set (or None if not set)
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getDataRange
()[source]¶ Return the range of the data as a 3-tuple of values.
positive min is NaN if no data is positive.
Returns: (min, positive min, max) or None.
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setOuterScale
(sx=1.0, sy=1.0, sz=1.0)[source]¶ Set the scale to apply to the whole scene including the axes.
This is useful when axis lengths in data space are really different.
Parameters: - sx (float) – Scale factor along the X axis
- sy (float) – Scale factor along the Y axis
- sz (float) – Scale factor along the Z axis
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getOuterScale
()[source]¶ Returns the scales provided by
setOuterScale()
.Return type: numpy.ndarray
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setScale
(sx=1.0, sy=1.0, sz=1.0)[source]¶ Set the scale of the 3D scalar field (i.e., size of a voxel).
Parameters: - sx (float) – Scale factor along the X axis
- sy (float) – Scale factor along the Y axis
- sz (float) – Scale factor along the Z axis
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getScale
()[source]¶ Returns the scales provided by
setScale()
as a numpy.ndarray.
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setTranslation
(x=0.0, y=0.0, z=0.0)[source]¶ Set the translation of the origin of the data array in data coordinates.
Parameters: - x (float) – Offset of the data origin on the X axis
- y (float) – Offset of the data origin on the Y axis
- z (float) – Offset of the data origin on the Z axis
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getTranslation
()[source]¶ Returns the offset set by
setTranslation()
as a numpy.ndarray.
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setTransformMatrix
(matrix3x3)[source]¶ Set the transform matrix applied to the data.
Parameters: matrix (numpy.ndarray) – 3x3 transform matrix
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getTransformMatrix
()[source]¶ Returns the transform matrix applied to the data.
See
setTransformMatrix()
.Return type: numpy.ndarray
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isBoundingBoxVisible
()[source]¶ Returns axes labels, grid and bounding box visibility.
Return type: bool
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setBoundingBoxVisible
(visible)[source]¶ Set axes labels, grid and bounding box visibility.
Parameters: visible (bool) – True to show axes, False to hide
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setAxesLabels
(xlabel=None, ylabel=None, zlabel=None)[source]¶ Set the text labels of the axes.
Parameters: - xlabel (str) – Label of the X axis, None to leave unchanged.
- ylabel (str) – Label of the Y axis, None to leave unchanged.
- zlabel (str) – Label of the Z axis, None to leave unchanged.
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getAxesLabels
()[source]¶ Returns the text labels of the axes
>>> widget = ScalarFieldView() >>> widget.setAxesLabels(xlabel='X')
You can get the labels either as a 3-tuple:
>>> xlabel, ylabel, zlabel = widget.getAxesLabels()
Or as an object with methods getXLabel, getYLabel and getZLabel:
>>> labels = widget.getAxesLabels() >>> labels.getXLabel() ... 'X'
Returns: object describing the labels
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setForegroundColor
(color)[source]¶ Set the foreground color.
Parameters: color (QColor, str or array-like of 3 or 4 float in [0., 1.] or uint8) – RGB color: name, #RRGGBB or RGB values
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setHighlightColor
(color)[source]¶ Set hightlighted item color.
Parameters: color (QColor, str or array-like of 3 or 4 float in [0., 1.] or uint8) – RGB color: name, #RRGGBB or RGB values
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getCutPlanes
()[source]¶ Return an iterable of all cut planes of the view.
This includes hidden cut planes.
For now, there is always one cut plane.
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setSelectedRegion
(zrange=None, yrange=None, xrange_=None)[source]¶ Set the 3D selected region aligned with the axes.
Provided range are array indices range. The provided ranges are clipped to the data. If a range is None, the range of the array on this dimension is used.
Parameters: - zrange – (zmin, zmax) range of the selection
- yrange – (ymin, ymax) range of the selection
- xrange – (xmin, xmax) range of the selection
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sigIsosurfaceAdded
¶ Signal emitted when a new iso-surface is added to the view.
The newly added iso-surface is provided by this signal
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sigIsosurfaceRemoved
¶ Signal emitted when an iso-surface is removed from the view
The removed iso-surface is provided by this signal.
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addIsosurface
(level, color)[source]¶ Add an iso-surface to the view.
Parameters: - level (float or callable) – The value at which to build the iso-surface or a callable (e.g., a function) taking a 3D numpy.ndarray as input and returning a float. Example: numpy.mean(data) + numpy.std(data)
- color (str or array-like of 4 float in [0., 1.]) – RGBA color of the isosurface
Returns: Isosurface object describing this isosurface
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Helper classes¶
Those classes are used by ScalarFieldView
.
CutPlane
¶
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class
CutPlane
(sfView)[source]¶ Bases:
silx.gui.qt._qt.QObject
Class representing a cutting plane
Parameters: sfView (ScalarFieldView) – Widget in which the cut plane is applied. -
sigVisibilityChanged
¶ Signal emitted when the cut visibility has changed.
This signal provides the new visibility status.
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sigDataChanged
¶ Signal emitted when the data this plane is cutting has changed.
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sigPlaneChanged
¶ Signal emitted when the cut plane has moved
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sigColormapChanged
¶ Signal emitted when the colormap has changed
This signal provides the new colormap.
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sigTransparencyChanged
¶ Signal emitted when the transparency of the plane has changed.
This signal is emitted when calling
setDisplayValuesBelowMin()
.
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sigInterpolationChanged
¶ Signal emitted when the cut plane interpolation has changed
This signal provides the new interpolation mode.
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getNormal
(coordinates='array')[source]¶ Returns the normal of the plane (as a unit vector)
Parameters: coordinates (str) – The coordinate system to use: Either ‘scene’ or ‘array’ (default) Returns: Normal (nx, ny, nz), vector is 0 if no plane is defined Return type: numpy.ndarray Raises: ValueError – If coordinates is not correct
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setNormal
(normal, coordinates='array')[source]¶ Set the normal of the plane.
Parameters: - normal – 3-tuple of float: nx, ny, nz
- coordinates (str) – The coordinate system to use: Either ‘scene’ or ‘array’ (default)
Raises: ValueError – If coordinates is not correct
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getPoint
(coordinates='array')[source]¶ Returns a point on the plane.
Parameters: coordinates (str) – The coordinate system to use: Either ‘scene’ or ‘array’ (default) Returns: (x, y, z) Return type: numpy.ndarray Raises: ValueError – If coordinates is not correct
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setPoint
(point, constraint=True, coordinates='array')[source]¶ Set a point contained in the plane.
Warning: The plane might not intersect the bounding box of the data.
Parameters: - point (3-tuple of float) – (x, y, z) position
- constraint (bool) – True (default) to make sure the plane intersect data bounding box, False to set the plane without any constraint.
Raises: ValueError – If coordinates is not correc
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getParameters
(coordinates='array')[source]¶ Returns the plane equation parameters: a*x + b*y + c*z + d = 0
Parameters: coordinates (str) – The coordinate system to use: Either ‘scene’ or ‘array’ (default) Returns: Plane equation parameters: (a, b, c, d) Return type: numpy.ndarray Raises: ValueError – If coordinates is not correct
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setParameters
(parameters, constraint=True, coordinates='array')[source]¶ Set the plane equation parameters: a*x + b*y + c*z + d = 0
Warning: The plane might not intersect the bounding box of the data.
Parameters: - parameters (4-tuple of float) – (a, b, c, d) plane equation parameters.
- constraint (bool) – True (default) to make sure the plane intersect data bounding box, False to set the plane without any constraint.
Raises: ValueError – If coordinates is not correc
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setVisible
(visible)[source]¶ Set the visibility of the plane
Parameters: visible (bool) – True to make plane visible
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setStrokeColor
(color)[source]¶ Set the color of the plane border.
Parameters: color (QColor, str or array-like of 3 or 4 float in [0., 1.] or uint8) – RGB color: name, #RRGGBB or RGB values
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getImageData
()[source]¶ Returns the data and information corresponding to the cut plane.
The returned data is not interpolated, it is a slice of the 3D scalar field.
Image data axes are so that plane normal is towards the point of view.
Returns: An object containing the 2D data slice and information
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getInterpolation
()[source]¶ Returns the interpolation used to display to cut plane.
Returns: ‘nearest’ or ‘linear’ Return type: str
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setInterpolation
(interpolation)[source]¶ Set the interpolation used to display to cut plane
The default interpolation is ‘linear’
Parameters: interpolation (str) – ‘nearest’ or ‘linear’
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getDisplayValuesBelowMin
()[source]¶ Return whether values <= colormap min are displayed or not.
Return type: bool
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setDisplayValuesBelowMin
(display)[source]¶ Set whether to display values <= colormap min.
Parameters: display (bool) – True to show values below min, False to discard them
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getColormap
()[source]¶ Returns the colormap set by
setColormap()
.Returns: The colormap Return type: Colormap
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setColormap
(name='gray', norm=None, vmin=None, vmax=None)[source]¶ Set the colormap to use.
By either providing a
Colormap
object or its name, normalization and range.Parameters: - name (str or ~silx.gui.colors.Colormap) – Name of the colormap in ‘gray’, ‘reversed gray’, ‘temperature’, ‘red’, ‘green’, ‘blue’. Or Colormap object.
- norm (str) – Colormap mapping: ‘linear’ or ‘log’.
- vmin (float) – The minimum value of the range or None for autoscale
- vmax (float) – The maximum value of the range or None for autoscale
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IsoSurface
¶
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class
Isosurface
(parent)[source]¶ Bases:
silx.gui.qt._qt.QObject
Class representing an iso-surface
Parameters: parent – The View widget this iso-surface belongs to -
sigLevelChanged
¶ Signal emitted when the iso-surface level has changed.
This signal provides the new level value (might be nan).
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sigColorChanged
¶ Signal emitted when the iso-surface color has changed
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sigVisibilityChanged
¶ Signal emitted when the iso-surface visibility has changed.
This signal provides the new visibility status.
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setVisible
(visible)[source]¶ Set the visibility of the iso-surface in the view.
Parameters: visible (bool) – True to show the iso-surface, False to hide
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setLevel
(level)[source]¶ Set the value at which to build the iso-surface.
Setting this value reset auto-level function
Parameters: level (float) – The value at which to build the iso-surface
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setAutoLevelFunction
(autoLevel)[source]¶ Set the function used to compute the iso-level.
WARNING: The function might get called in a thread.
Parameters: autoLevel (callable) – A function taking a 3D numpy.ndarray of float32 and returning a float used as iso-level. Example: numpy.mean(data) + numpy.std(data)
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SelectedRegion
¶
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class
SelectedRegion
(arrayRange, dataBBox, translation=(0.0, 0.0, 0.0), scale=(1.0, 1.0, 1.0))[source]¶ Bases:
object
Selection of a 3D region aligned with the axis.
Parameters: - arrayRange – Range of the selection in the array ((zmin, zmax), (ymin, ymax), (xmin, xmax))
- dataBBox – Bounding box of the selection in data coordinates ((xmin, xmax), (ymin, ymax), (zmin, zmax))
- translation – Offset from array to data coordinates (ox, oy, oz)
- scale – Scale from array to data coordinates (sx, sy, sz)
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getArrayRange
()[source]¶ Returns array ranges of the selection: 3x2 array of int
Returns: A numpy array with ((zmin, zmax), (ymin, ymax), (xmin, xmax)) Return type: numpy.ndarray
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getArraySlices
()[source]¶ Slices corresponding to the selected range in the array
Returns: A numpy array with (zslice, yslice, zslice) Return type: numpy.ndarray
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getDataRange
()[source]¶ Range in the data coordinates of the selection: 3x2 array of float
When the transform matrix is not the identity matrix (e.g., rotation, skew) the returned range is the one of the selected region bounding box in data coordinates.
Returns: A numpy array with ((xmin, xmax), (ymin, ymax), (zmin, zmax)) Return type: numpy.ndarray