ipympl for matplotlib not created through pyplot

Is it possible to use ipympl starting from an arbitrary matplotlib figure? If yes, an example would be helpful. Thanks!

Use Case: I would like to use ipympl for SageMath plots. The later do have a method to
convert them to matplotlib figure. However the figure has not been created with the usual
pyplot workflow, and does not have a canvas setup.

In a jupyter notebook with the SageMath kernel (e.g. using the binder link from https://github.com/sagemath/sage-binder-env/ after installing ipympl with sage -pip install ipyml)

%matplotlib widget
p = plot(sin(x))
fig = p.matplotlib();
type(fig.canvas)
<class 'NoneType'>

It could well be that SageMath is producing weird matplotlib figures though.

cc: @zerline

Aucun fichier du projet ni aucun test n’est nommé. Commencez par reproduire l’extrait du notebook Jupyter avec la figure matplotlib produite par SageMath et vérifiez si ipympl peut fournir un canvas pour celle-ci ; le travail est considéré comme terminé lorsqu’il est établi que ce workflow fonctionne ou non et qu’un exemple minimal ou la limitation est documenté.