from matplotlib.figure import Figureimport matplotlib.pyplot as pltfig = Figure()fig.subplots().plot([1, 3, 2])plt.figure(fig)  # fig is now tracked in pyplotplt.show()

This also opens up the possibility to more dynamically track and untrack figures in pyplot, which opens up the road to optimized figure tracking in pyplot (#29849)

Anybody, feel free to play around with this and try to break it.

github-actionsbot added the topic: pyplot API label

Apr 1, 2025

timhoffm force-pushed thepyplot-register-figure branch from0e13c82 to56f4ee1Compare

April 1, 2025 21:46

timhoffm mentioned this pull request

Apr 1, 2025

ENH: mpl_gui to main library#29836

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ENH: Allow to register standalone figures with pyplot

f97c262

It may be fundamentally nice not to have to create the figurethough pyplot to be able to use it in pyplot afterwards. You can now do```from matplotlib.figure import Figureimport matplotlib.pyplot as pltfig = Figure()fig.subplots().plot([1, 3, 2])plt.figure(fig)  # fig is now tracked in pyplotplt.show()```This also opens up the possibility to more dynamically trackand untrack figures in pyplot, which opens up the road tooptimized figure tracking in pyplot (matplotlib#29849)

timhoffm force-pushed thepyplot-register-figure branch from56f4ee1 tof97c262Compare

April 1, 2025 22:19

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rcomer commentedApr 2, 2025•
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I was hoping I could modify the figure and show again, but that does not seem to be the case

importmatplotlib.pyplotaspltfrommatplotlib.figureimportFigurefig=Figure()ax=fig.subplots()ax.plot([0,2])plt.figure(fig)plt.show()ax.set_title('A cool line')plt.figure(fig)plt.show()