matplotlib / matplotlib/ipympl

Non responsive ipympl with ipywidgets after updating environment

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#469 8 comentarios 1 reacción 0 asignados Ver en GitHub

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Lenguaje dominante
Jupyter Notebook
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1.7k
Forks
234
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

Describe the issue

I have consistently used the following workflow for fully updating my Jupyter Lab working environments:

$ rmvirtualenv my_env
$ mkvirtualenv --python=`which python` my_env
[my_env] $ pip install -r requirements.txt
[my_env] $ jupyter lab build
[my_env] $ jupyter lab

Recently however, after these steps:

  1. My widgets all become non-functional. I can operate and interact with them, but the figures they control do not change at all.
  2. All of the widget controls move from being above the figure they control to to below it.

Projects in virtualenvs that have not been recently updated in this way continue to work fine, and updating them reliably makes them stop working.

This occurs consistently (I have now ruined half a dozen projects confirming the pattern), and even for notebooks hosted outside my local machine (such as this one hosted on Binder). Control widgets themselves seem to work fine though (e.g., in notebooks like this one) when ipympl is not involved. I have also confirmed that the observed behavior is independent of browser and local machine (at least macOS vs iOS).

Has something about Jupyter Lab, ipywidgets, or ipympl changed recently that might be causing this?


Typical post update configuration:

$ jupyter --version
Selected Jupyter core packages...
IPython          : 8.4.0
ipykernel        : 6.13.1
ipywidgets       : 7.7.0
jupyter_client   : 7.3.4
jupyter_core     : 4.10.0
jupyter_server   : 1.17.1
jupyterlab       : 3.4.3
nbclient         : 0.6.4
nbconvert        : 6.5.0
nbformat         : 5.4.0
notebook         : 6.4.12
qtconsole        : not installed
traitlets        : 5.2.2

$ jupyter labextension list 
JupyterLab v3.4.3
/Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/share/jupyter/labextensions
        jupyterlab_pygments v0.2.2 enabled OK (python, jupyterlab_pygments)
        nbdime-jupyterlab v2.1.1 enabled OK
        jupyter-matplotlib v0.11.1 enabled OK
        @jupyterlab/git v0.37.1 enabled OK (python, jupyterlab-git)
        @jupyter-widgets/jupyterlab-manager v3.1.0 enabled OK (python, jupyterlab_widgets)
        @kiteco/jupyterlab-kite v2.0.2 enabled OK (python, jupyterlab_kite)

Other labextensions (built into JupyterLab)
   app dir: /Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/share/jupyter/lab

Typical pre update configuration:

$ jupyter --version
jupyter core     : 4.7.1
jupyter-notebook : 6.4.3
qtconsole        : not installed
ipython          : 7.26.0
ipykernel        : 6.2.0
jupyter client   : 6.1.12
jupyter lab      : 3.1.10
nbconvert        : 6.1.0
ipywidgets       : 7.6.4
nbformat         : 5.1.3
traitlets        : 5.0.5

jupyter labextension list
JupyterLab v3.1.10
/Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/share/jupyter/labextensions
        nbdime-jupyterlab v2.1.0 enabled OK
        jupyter-matplotlib v0.9.0 enabled OK
        @jupyterlab/git v0.32.2 enabled OK (python, jupyterlab-git)
        @jupyter-widgets/jupyterlab-manager v3.0.0 enabled OK (python, jupyterlab_widgets)
        @kiteco/jupyterlab-kite v2.0.2 enabled OK (python, jupyterlab_kite)

/usr/local/share/jupyter/labextensions
        jupyterlab_pygments v0.2.2 enabled OK (python, jupyterlab_pygments)

Other labextensions (built into JupyterLab)
   app dir: /Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/share/jupyter/lab

Typical requirements:

#...
ipywidgets                 
ipympl

jupyterlab >=3.1                
jupyterlab-git                 
jupyterlab-kite >=2.0.2        

(I've tried omitting Kite to see if that was the culprit. In any case it is not present in the Binder versions.)

Versions

 3.9.13 (main, May 24 2022, 21:28:44) 
[Clang 13.0.0 (clang-1300.0.29.30)]
ipympl version: 0.9.1
Selected Jupyter core packages...
IPython          : 8.4.0
ipykernel        : 6.13.1
ipywidgets       : 7.7.0
jupyter_client   : 7.3.4
jupyter_core     : 4.10.0
jupyter_server   : 1.17.1
jupyterlab       : 3.4.3
nbclient         : 0.6.4
nbconvert        : 6.5.0
nbformat         : 5.4.0
notebook         : 6.4.12
qtconsole        : not installed
traitlets        : 5.2.2
Known nbextensions:
  config dir: /Users/Rax/.jupyter/nbconfig
    notebook section
      nbdime/index  enabled 
      - Validating: OK
  config dir: /Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/etc/jupyter/nbconfig
    notebook section
      jupyter-matplotlib/extension  enabled 
      - Validating: OK
      nbdime/index  enabled 
      - Validating: OK
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
  config dir: /usr/local/etc/jupyter/nbconfig
    notebook section
      nbdime/index  enabled 
      - Validating: OK
JupyterLab v3.4.3
/Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/share/jupyter/labextensions
        jupyterlab_pygments v0.2.2 enabled OK (python, jupyterlab_pygments)
        nbdime-jupyterlab v2.1.1 enabled OK
        jupyter-matplotlib v0.11.1 enabled OK
        @jupyterlab/git v0.37.1 enabled OK (python, jupyterlab-git)
        @jupyter-widgets/jupyterlab-manager v3.1.0 enabled OK (python, jupyterlab_widgets)
        @kiteco/jupyterlab-kite v2.0.2 enabled OK (python, jupyterlab_kite)

Other labextensions (built into JupyterLab)
   app dir: /Users/Rax/Documents/Projects/Coding/Python/venvs/picollisions/share/jupyter/lab

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

Reproduce el flujo de trabajo reportado con las versiones indicadas anteriores y posteriores a la actualización, utilizando los notebooks de Binder enlazados y la configuración de widgets de ipympl/JupyterLab. Compara la capacidad de respuesta de los widgets y la ubicación de los controles antes y después de la actualización. Se considera terminado cuando se haya identificado un fallo de compatibilidad reproducible y se haya verificado que los controles de la figura interactiva responden y aparecen en la posición esperada.

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

Evaluación

Stack tecnológico
jupyter-notebook, matplotlib, python
Área
frontend
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Necesita aclaración
Aptitud para principiantes
25/100

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