Non responsive ipympl with ipywidgets after updating environment

Dieses Issue hat noch niemand übernommen.

## Describe the issue

I have consistently used the following workflow for fully updating my Jupyter Lab working environments:
```text
$ 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][1]). Control widgets themselves seem to work fine though (e.g., in notebooks [like this one][2]) 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:
```text
$ 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:
```text
$ 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:
```text
#...
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.)

[1]: https://mybinder.org/v2/gh/orome/logistic-map-py.git/main/?urlpath=lab/tree/demo.ipynb
[2]: https://mybinder.org/v2/gh/orome/automata-py.git/master/?urlpath=lab/tree/demo.ipynb

## 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
```

Reproduziere den gemeldeten Workflow mit den aufgeführten Versionen vor und nach dem Update unter Verwendung der verlinkten Binder-Notebooks und des ipympl/JupyterLab-Widget-Setups. Vergleiche die Reaktionsfähigkeit der Widgets und die Positionierung der Steuerelemente vor und nach dem Update. Als abgeschlossen gilt die Identifizierung eines reproduzierbaren Kompatibilitätsfehlers und die Überprüfung, dass die Steuerelemente der interaktiven Abbildung reagieren und an der erwarteten Position erscheinen.

Vom Indexierungsmodell aus dem Issue-Text verfasst.