occasional graphical corruption when manipulating plots using the zoom and pan widgets

Dieses Issue hat noch niemand übernommen.

## 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
```

Reproduziere das Problem mit einem großen Plot in JupyterLab 4.2.3 unter Verwendung von ipympl 0.9.4 und bearbeite ihn anschließend mit den Steuerelementen Zoom, Pan, Back, Forward und Home. Vergleiche Canvas und Achsen nach einem fehlgeschlagenen Neuzeichnen und überprüfe das Ergebnis mit der Schaltfläche Download plot; abgeschlossen bedeutet, dass nach Interaktionen mit dem Widget keine beschädigten Pixel mehr vorhanden sind.

Vom Indexierungsmodell aus dem Issue-Text verfasst.