| ++++++++++++++++++++ | |
| 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> | |