matplotlib / matplotlib/ipympl
occasional graphical corruption when manipulating plots using the zoom and pan widgets
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Descripción
Describe the issue
Manipulating fairly large (~M points) plots,. found occasionally that the redraw would fail, then would leave old pixels in place.
Using the 'Back to previous view' / 'Forward to next view' appears to fix the corruption, otherwise it just sticks around until the figure is redrawn by re-running the cell producing it. I.E., once it appears, hitting the 'home' button does not clear it.
Affects both the plot as well as the axes, with the axes becoming unreadable. Saving the corrupted pixels using the 'Download plot' button works - in that the saved png includes the pixel corruption.
Versions
3.12.3 (main, Jul 15 2024, 15:34:06) [GCC 12.2.0]
ipympl version: 0.9.4
Selected Jupyter core packages...
IPython : 8.26.0
ipykernel : 6.29.5
ipywidgets : 8.1.5
jupyter_client : 8.6.2
jupyter_core : 5.7.2
jupyter_server : 2.14.2
jupyterlab : 4.2.3
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.
I assume you meant || jupyter labextension list not &&.
JupyterLab v4.2.3
/home/rgd2/.pyenv/versions/3.12.3/share/jupyter/labextensions
jupyterlab_pygments v0.3.0 enabled OK (python, jupyterlab_pygments)
jupyter-matplotlib v0.11.4 enabled OK
@jupyter-widgets/jupyterlab-manager v5.0.13 enabled OK (python, jupyterlab_widgets)
Other labextensions (built into JupyterLab)
app dir: /home/rgd2/.pyenv/versions/3.12.3/share/jupyter/lab
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Reproduce el problema con un gráfico grande en JupyterLab 4.2.3 usando ipympl 0.9.4 y, a continuación, manipúlalo con los controles Zoom, Pan, Back, Forward y Home. Compara el canvas y los ejes después de un redibujado fallido y verifica el resultado con el botón Download plot; se considera terminado cuando ya no quedan píxeles corruptos después de interactuar con el widget.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- jupyter, jupyter-notebook, python
- Área
- data-visualization, 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