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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"nbagg backend: multiple execution of same cell with plots","articleBody":"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.\n1. When using the procedural API: after the second execution of the same cell no figure is displayed (until the next `close()` call).\n2. 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.\n\nRe-executing a cell to tweak or add elements to a plot is a very common use case during interactive sessions.\n\nThis issue was first mentioned in #4456.\n","author":{"url":"https://github.com/tritemio","@type":"Person","name":"tritemio"},"datePublished":"2015-05-22T23:15:39.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":4},"url":"https://github.com/4457/matplotlib/issues/4457"}