This module provides the Scatter item of the Plot.
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class
Stats(statslist=None)[source]
Class to define a set of statistic relative to a dataset
(image, curve…).
The goal of this class is to avoid multiple recalculation of some
basic operations such as filtering data area where the statistics has to
be apply.
Min and max are also stored because they can be used several time.
| Parameters: | statslist (List) – List of the Stat object to be computed. |
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calculate(item, plot, onlimits)[source]
Call all Stat object registred and return the result of the
computation.
| Parameters: |
- item – the item for which we want statistics
- plot – plot containing the item
- onlimits (bool) – True if we want to apply statistic only on
visible data.
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| Return dict: | dictionary with Stat name as ket and result
of the calculation as value
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class
StatBase(name, compatibleKinds={'curve': <class 'silx.gui.plot.items.curve.Curve'>, 'histogram': <class 'silx.gui.plot.items.histogram.Histogram'>, 'image': <class 'silx.gui.plot.items.image.ImageBase'>, 'scatter': <class 'silx.gui.plot.items.scatter.Scatter'>}, description=None)[source]
Base class for defining a statistic.
| Parameters: |
- name (str) – the name of the statistic. Must be unique.
- compatibleKinds – the kind of items (curve, scatter…) for which
the statistic apply.
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| Return type: | List or tuple
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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getToolTip(kind)[source]
If necessary add a tooltip for a stat kind
| Parameters: | kinf (str) – the kind of item the statistic is compute for. |
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| Returns: | tooltip or None if no tooltip |
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class
Stat(name, fct, kinds={'curve': <class 'silx.gui.plot.items.curve.Curve'>, 'histogram': <class 'silx.gui.plot.items.histogram.Histogram'>, 'image': <class 'silx.gui.plot.items.image.ImageBase'>, 'scatter': <class 'silx.gui.plot.items.scatter.Scatter'>})[source]
Create a StatBase class based on a function pointer.
| Parameters: |
- name (str) – name of the statistic. Used as id
- fct – function which should have as unique mandatory parameter the
data. Should be able to adapt to all kinds defined as
compatible
- kinds (tuple) – the compatible item kinds of the function (curve,
image…)
|
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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class
StatMin[source]
Compute the minimal value on data
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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class
StatMax[source]
Compute the maximal value on data
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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class
StatDelta[source]
Compute the delta between minimal and maximal on data
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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class
StatCoordMin[source]
Compute the first coordinates of the data minimal value
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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getToolTip(kind)[source]
If necessary add a tooltip for a stat kind
| Parameters: | kinf (str) – the kind of item the statistic is compute for. |
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| Returns: | tooltip or None if no tooltip |
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class
StatCoordMax[source]
Compute the first coordinates of the data minimal value
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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getToolTip(kind)[source]
If necessary add a tooltip for a stat kind
| Parameters: | kinf (str) – the kind of item the statistic is compute for. |
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| Returns: | tooltip or None if no tooltip |
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class
StatCOM[source]
Compute data center of mass
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calculate(context)[source]
compute the statistic for the given StatsContext
| Parameters: | context – |
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| Return dict: | key is stat name, statistic computed is the dict value |
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getToolTip(kind)[source]
If necessary add a tooltip for a stat kind
| Parameters: | kinf (str) – the kind of item the statistic is compute for. |
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| Returns: | tooltip or None if no tooltip |
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