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Description
When using matplotlib in the Jupyter Notebook with the notebook (or nbagg) backend, multiple re-executions of of a cell (containing a plot) cause some problems.
- When using the procedural API: after the second execution of the same cell no figure is displayed (until the next
close()call). - When using the OO API: after each execution, the old fig and ax objects are overwritten, a new figure is created and the RAM is filled with invisible figures. Even
plt.close('all')does not free any RAM.
Re-executing a cell to tweak or add elements to a plot is a very common use case during interactive sessions.
This issue was first mentioned in #4456.
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