matplotlib / matplotlib/ipympl

matplotlib.pyplot.figure.show method displays figure two times

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Dominant language
Jupyter Notebook
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Description

Describe the issue

matplotlib.pyplot.figure.show method displays figure two times.
image

Versions

 3.10.4 (main, Mar 31 2022, 08:41:55) [GCC 7.5.0]
ipympl version: 0.8.7
Selected Jupyter core packages...
IPython          : 8.4.0
ipykernel        : 6.9.1
ipywidgets       : 7.6.5
jupyter_client   : 7.2.2
jupyter_core     : 4.10.0
jupyter_server   : 1.18.1
jupyterlab       : 3.4.4
nbclient         : 0.5.13
nbconvert        : 6.4.4
nbformat         : 5.3.0
notebook         : 6.4.12
qtconsole        : not installed
traitlets        : 5.1.1
Known nbextensions:
  config dir: /home/honek/.jupyter/nbconfig
    notebook section
      [--sys-prefix  enabled 
      - Validating: problems found:
        - require?  X [--sys-prefix
      jupyter-threejs/extension  enabled 
      - Validating: problems found:
        - require?  X jupyter-threejs/extension
  config dir: /home/honek/anaconda3/envs/ipympl_test/etc/jupyter/nbconfig
    notebook section
      jupyter-matplotlib/extension  enabled 
      - Validating: OK
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
JupyterLab v3.4.4
/home/honek/anaconda3/envs/ipympl_test/share/jupyter/labextensions
        jupyter-matplotlib v0.10.5 enabled OK
        @jupyter-widgets/jupyterlab-manager v3.0.0 enabled OK (python, jupyterlab_widgets)

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the duplicate display in JupyterLab 3.4.4 with Python 3.10.4, ipympl 0.8.7, and the listed Jupyter packages, using matplotlib.pyplot.figure.show. Done means the same figure appears only once; the issue names no source file or test, so locating the relevant implementation and regression coverage is part of the work.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter, jupyter-notebook, python
Domain
data-visualization, frontend
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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