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.. _figures_and_backends:
++++++++++++++++++++
Figures and backends
++++++++++++++++++++
When looking at Matplotlib visualization, you are almost always looking at
Artists placed on a `~.Figure`. In the example below, the figure is the
blue region and `~.Figure.add_subplot` has added an `~.axes.Axes` artist to the
`~.Figure` (see :ref:`figure_parts`). A more complicated visualization can add
multiple Axes to the Figure, colorbars, legends, annotations, and the Axes
themselves can have multiple Artists added to them
(e.g. ``ax.plot`` or ``ax.imshow``).
.. plot::
:include-source:
fig = plt.figure(figsize=(4, 2), facecolor='lightskyblue',
layout='constrained')
fig.suptitle('A nice Matplotlib Figure')
ax = fig.add_subplot()
ax.set_title('Axes', loc='left', fontstyle='oblique', fontsize='medium')
.. toctree::
:maxdepth: 2
Introduction to figures <figure_intro>
.. toctree::
:maxdepth: 1
Output backends <backends>
Matplotlib Application Interfaces (APIs) <api_interfaces>
Interacting with figures <interactive>
Interactive figures and asynchronous programming <interactive_guide>
Event handling <event_handling>
Writing a backend -- the pyplot interface <writing_a_backend_pyplot_interface>
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