Blank figures in Jupyter notebook

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I have happily used interactive plots in jupyter notebooks for years with `%matplotlib notebook`. Unfortunately, since version 7 was introduced, I have experienced troubles with getting interactive plotting to work properly. I read that version 7 requires installing *ipympl* and `%matplotlib ipympl`.

Today, I set up a fresh virtual environment and installed *jupyter* and *ipympl*. Figures are opening, the controls appear, a figure title appears, but the figure contains no content. There is also no error message on the browser's developer console.

Steps to reproduce:

```bash
# Create virtual environment
python3 -m venv debug
source debug/bin/activate

# Install jupyter and ipympl
pip install jupyter ipympl matplotlib numpy

# Open notebook
jupyter notebook
```

Then I use the code from the [basic example](https://matplotlib.org/ipympl/)

```python
%matplotlib ipympl
import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(3*x)
ax.plot(x, y)
```

A white area is opening, the controls appear, but there is no figure content.

I have seen several similar issues on Stackoverflow, where the solution is usually to upgrade or downgrade one of the packages. However, these answers have aged as newer versions came out in the meantime. Is there a general recipe to identify the issue when interactive plotting fails?

## Versions

```
Python: 3.12.3
ipympl version: 0.9.4
IPython : 8.25.0
ipykernel : 6.29.4
ipywidgets : 8.1.3
jupyter_client : 8.6.2
jupyter_core : 5.7.2
jupyter_server : 2.14.1
jupyterlab : 4.2.1
nbclient : 0.10.0
nbconvert : 7.16.4
nbformat : 5.10.4
notebook : 7.2.0
qtconsole : 5.5.2
traitlets : 5.14.3
```

```
jupyter labextension list
JupyterLab v4.2.1
/home/bene/local/venvs/debug/share/jupyter/labextensions
jupyterlab_pygments v0.3.0 enabled OK (python, jupyterlab_pygments)
jupyter-matplotlib v0.11.4 enabled OK
@jupyter-widgets/jupyterlab-manager v5.0.11 enabled OK (python, jupyterlab_widgets)
@jupyter-notebook/lab-extension v7.2.0 enabled OK
```

Reproduziere die leere Abbildung mit den aufgeführten Befehlen der virtuellen Umgebung und dem grundlegenden ipympl-Beispiel. Überprüfe zunächst die gemeldeten Versionen von Python, JupyterLab, notebook, ipympl und widget sowie deren Kompatibilität. Als abgeschlossen gilt die Aufgabe, wenn die Ursache identifiziert und eine zuverlässige Diagnose oder eine Behebung durch Paketversionen dokumentiert wurde, mit der interaktive Abbildungen funktionieren.

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