matplotlib / matplotlib/ipympl

Re-executing a cell hides the figure when it is given a `num=...` argument

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bug
Langage dominant
Jupyter Notebook
Étoiles
1.7k
Forks
234
Métriques de merge des PR
Aucune PR mergée en 30 j

Description

Describe the issue

Explicit figure numbers seem to cause a small glitch in ipympl. When the following cell is executed once, it shows the plot. When re-executing the cell, it disappears again.

x = np.linspace(-np.pi/2, np.pi/2)
plt.figure(num=1)
plt.plot(x, np.sin(x))

I've attached a working example: repeat_plot_issue.zip

The inline and notebook backends do not have this issue, which leads me to believe this is a bug. There are two workarounds:

  1. Close the figure in the beginning of the cell with e.g. plt.close(1)
  2. Show the figure at the end of the cell with plt.show()

(I'm using Jupyter notebooks with a group of about 40 students, and they got confused by this difference in behavior between the backends. I understand this is not a major issue because there are simple workarounds. Still, for newcomers, it is an extra difficulty: "Help, my plot has disappeared!")

Versions

 3.9.7 | packaged by conda-forge | (default, Sep 29 2021, 19:20:46) 
[GCC 9.4.0]
ipympl version: 0.8.2
Selected Jupyter core packages...
IPython          : 7.30.1
ipykernel        : 6.6.0
ipywidgets       : 7.6.5
jupyter_client   : 6.1.12
jupyter_core     : 4.9.1
jupyter_server   : 1.13.1
jupyterlab       : 3.2.5
nbclient         : 0.5.9
nbconvert        : 6.3.0
nbformat         : 5.1.3
notebook         : 6.4.6
qtconsole        : not installed
traitlets        : 5.1.1
Known nbextensions:
  config dir: /home/toon/.jupyter/nbconfig
    notebook section
      splitcell/splitcell disabled
      nbextensions_configurator/config_menu/main  enabled 
      - Validating: problems found:
        - require?  X nbextensions_configurator/config_menu/main
      contrib_nbextensions_help_item/main  enabled 
      - Validating: OK
      spellchecker/main  enabled 
      - Validating: OK
      toc2/main  enabled 
      - Validating: OK
      k3d/extension  enabled 
      - Validating: OK
    tree section
      nbextensions_configurator/tree_tab/main  enabled 
      - Validating: problems found:
        - require?  X nbextensions_configurator/tree_tab/main
  config dir: /home/toon/.local/etc/jupyter/nbconfig
    notebook section
      nbdime/index  enabled 
      - Validating: problems found:
        - require?  X nbdime/index
      rise/main  enabled 
      - Validating: OK
  config dir: /home/toon/miniconda3/envs/py4sci/etc/jupyter/nbconfig
    notebook section
      jupyter-matplotlib/extension  enabled 
      - Validating: OK
      rise/main  enabled 
      - Validating: OK
      voila/extension  enabled 
      - Validating: OK
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
      nbextensions_configurator/config_menu/main  enabled 
      - Validating: problems found:
        - require?  X nbextensions_configurator/config_menu/main
      contrib_nbextensions_help_item/main  enabled 
      - Validating: OK
    tree section
      nbextensions_configurator/tree_tab/main  enabled 
      - Validating: problems found:
        - require?  X nbextensions_configurator/tree_tab/main
  config dir: /etc/jupyter/nbconfig
    notebook section
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
JupyterLab v3.2.5
/home/toon/miniconda3/envs/py4sci/share/jupyter/labextensions
        k3d v2.11.0 enabled OK (python, k3d)
        jupyter-matplotlib v0.10.2 enabled OK
        @jupyter-widgets/jupyterlab-manager v3.0.1 enabled OK (python, jupyterlab_widgets)
        @ijmbarr/jupyterlab_spellchecker v0.7.2 enabled OK (python, jupyterlab-spellchecker)
        @ryantam626/jupyterlab_code_formatter v1.4.10 enabled OK (python, jupyterlab-code-formatter)
        @voila-dashboards/jupyterlab-preview v2.1.0 enabled OK (python, voila)

Guide de contribution

Ouvrir le guide de contribution

Par où commencer

  1. Lisez l'issue en entier, puis le guide de contribution du projet.
  2. Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
  3. Forkez le dépôt et travaillez sur une branche.
  4. Ouvrez une pull request qui référence le numéro de l'issue.

Piste de recherche

Commencez par exécuter l’exemple joint repeat_plot_issue.zip avec le backend ipympl et comparez-le avec les backends inline et notebook. L’exécution répétée de la cellule avec plt.figure(num=1) devrait laisser la figure visible sans nécessiter plt.close(1) ni plt.show().

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Évaluation

Stack technique
jupyter, jupyter-notebook, python
Domaine
data-visualization, frontend
Type d'issue
Bug
Difficulté
3/5
Temps estimé
1-2 jours
Activité
À l'abandon
Clarté
Plutôt claire
Accessibilité débutants
35/100

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