Visualization (qiskit_experiments.visualization)#
The visualization module provides plotting functionality for creating figures from
experiment and analysis results. This includes plotter and drawer classes to plot data
in CurveAnalysis and its subclasses. Plotters inherit from
BasePlotter and define a type of figure that may be generated from experiment
or analysis data. For example, the results from CurveAnalysis—or any other
experiment where results are plotted against a single parameter (i.e., \(x\))—can
be plotted using the CurvePlotter class, which plots X-Y-like values.
These plotter classes act as a bridge (from the common bridge pattern in software
development) between analysis classes (or even users) and plotting backends such as
Matplotlib. Drawers are the backends, with a common interface defined in
BaseDrawer. Though Matplotlib is the only officially supported plotting backend
in Qiskit Experiments (i.e., through MplDrawer), custom drawers can be
implemented by users to use alternative backends. As long as the backend is a subclass
of BaseDrawer, and implements all the necessary functionality, all plotters
should be able to generate figures with the alternative backend.
To collate style parameters together, plotters and drawers store instances of the
PlotStyle class. These instances can be merged and updated, so that default
styles can have their values overwritten.
Plotter Library#
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An abstract class for the serializable figure plotters. |
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A plotter class to plot results from |
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A plotter class to plot IQ data. |
Drawer Library#
Abstract class for the serializable Qiskit Experiments figure drawer. |
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Drawer for MatplotLib backend. |
Plotting Style#
A stylesheet for |