Figures and backends
====================

https://matplotlib.org/stable/users/explain/figure/index.html

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 add_subplot has added an Axes artist 
to the Figure (see Parts of a Figure). 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).

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')
(Source code, 2x.png, png)


Introduction to figures
Viewing Figures
Creating Figures
Saving Figures
Output backends
Matplotlib Application Interfaces (APIs)
Interacting with figures
Interactive figures and asynchronous programming
Event handling
Writing a backend -- the pyplot interface