matplotlib / matplotlib/ipympl
Closing figures does not work
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- Dominant language
- Jupyter Notebook
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Description
How to reproduce
%matplotlib widget
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(1)
plt.plot(np.sin(np.linspace(0, 20, 100)))
and then
plt.close(1)
Expected behaviour
Plotting canvas disappears.
Actual behaviour
Figure becomes non-interactive (tools do not work anymore), but canvas is still visible.
Versions
sys.version: 3.8.6 (tags/v3.8.6:db45529, Sep 23 2020, 15:52:53) [MSC v.1927 64 bit (AMD64)]
ipympl version: 0.8.7
Jupyter notebook running locally in a VS code (version 1.63.2), jupyter extension v2021.11.1001550889
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the example in a local VS Code Jupyter notebook using ipympl 0.8.7, then trace how plt.close(1) affects the visible canvas and its interactivity. The work is done when closing the figure removes the plotting canvas, while the reproduction no longer leaves a visible non-interactive figure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter, jupyter-notebook
- Domain
- frontend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100