matplotlib / matplotlib/ipympl

Click handler is broken with matplotlib>=3.5

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Lenguaje dominante
Jupyter Notebook
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Forks
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Descripción

Describe the issue

The click handler doesn't seem to have any effect:
The issue can be reproduced using the pixelstitch package following the installation instructions in this issue:
https://github.com/ducha-aiki/pixelstitch/issues/1#issuecomment-2269974339

Versions

Affected matplotlib versions are 3.5-3.9
Affected jupyer versions are:

  • classical notebook <7
  • jupyter lab 4.2.4
python -c "import sys; print('\n',sys.version); import ipympl; print('ipympl version:', ipympl.__version__)" && jupyter --version && jupyter nbextension list && jupyter labextension list

classical notebook -->

 jupyter labextension list

 3.10.14 (main, May  6 2024, 14:47:20) [Clang 14.0.6 ]
ipympl version: 0.9.4
Selected Jupyter core packages...
IPython          : 8.26.0
ipykernel        : 6.29.5
ipywidgets       : 8.1.3
jupyter_client   : 7.4.9
jupyter_core     : 5.7.2
jupyter_server   : 2.14.2
jupyterlab       : not installed
nbclient         : 0.10.0
nbconvert        : 7.16.4
nbformat         : 5.10.4
notebook         : 6.5.7
qtconsole        : 5.5.2
traitlets        : 5.14.3
Known nbextensions:
  config dir: /Users/dawars/miniconda3/envs/pixelstitch/etc/jupyter/nbconfig
    notebook section
      jupyter-matplotlib/extension  enabled
      - Validating: OK
      jupyter-js-widgets/extension  enabled
      - Validating: OK
usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir] [--paths] [--json] [--debug] [subcommand]

Jupyter: Interactive Computing

positional arguments:
  subcommand     the subcommand to launch

options:
  -h, --help     show this help message and exit
  --version      show the versions of core jupyter packages and exit
  --config-dir   show Jupyter config dir
  --data-dir     show Jupyter data dir
  --runtime-dir  show Jupyter runtime dir
  --paths        show all Jupyter paths. Add --json for machine-readable format.
  --json         output paths as machine-readable json
  --debug        output debug information about paths

Available subcommands: bundlerextension console dejavu events execute kernel kernelspec migrate nbclassic nbconvert nbextension notebook qtconsole run server serverextension troubleshoot trust

Jupyter command `jupyter-labextension` not found.```

Jupyter lab -->

3.10.14 (main, May 6 2024, 14:47:20) [Clang 14.0.6 ]
ipympl version: 0.9.4
Selected Jupyter core packages...
IPython : 8.26.0
ipykernel : 6.29.5
ipywidgets : 8.1.3
jupyter_client : 8.6.2
jupyter_core : 5.7.2
jupyter_server : 2.14.2
jupyterlab : 4.2.4
nbclient : 0.10.0
nbconvert : 7.16.4
nbformat : 5.10.4
notebook : not installed
qtconsole : not installed
traitlets : 5.14.3
usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir] [--paths] [--json] [--debug] [subcommand]

Jupyter: Interactive Computing

positional arguments:
subcommand the subcommand to launch

options:
-h, --help show this help message and exit
--version show the versions of core jupyter packages and exit
--config-dir show Jupyter config dir
--data-dir show Jupyter data dir
--runtime-dir show Jupyter runtime dir
--paths show all Jupyter paths. Add --json for machine-readable format.
--json output paths as machine-readable json
--debug output debug information about paths

Available subcommands: dejavu events execute kernel kernelspec lab labextension labhub migrate nbconvert run server troubleshoot trust

Jupyter command jupyter-nbextension not found.```

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comienza reproduciendo el fallo del click-handler con el paquete pixelstitch y las versiones clásicas de Notebook y JupyterLab indicadas en la issue. Compara los entornos afectados con matplotlib 3.5–3.9 y verifica que los clics produzcan la interacción esperada en cada entorno compatible.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
jupyter, matplotlib, python
Área
frontend
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
35/100

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