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Description
For a lecture, I produced a slide deck in jupyter lab with interactive graphs and presented it as a slide show with jupyterlab-rise. With the latest version of ipympl, the slide show only gives a static graph. Sadly I cannot reproduce the working setup I used last year, which makes it hard to investigate.
Minimal example notebook:
%matplotlib widget
import matplotlib.pyplot as plt
plt.plot([1,2,3], [4,5,6])with ipympl 0.9.8
Opening the notebook with uv run --with ipympl==0.9.8 --with matplotlib==3.10.8 --with matplotlib-inline==0.2.1 --with jupyterlab_rise jupyter lab (the latest versions as of now) and running the cell gives a working interactive plot, but when opening the presentation, it shows a static image instead:
(You can tell that the right plot in the screenshot misses the resize handler, I can also tell that it is a plain <img> tag with a png data URL instead of a <canvas>, which seems to be the fallback option.)
ipympl 0.9.3 already shows the same behavior of falling back to a static image, but 0.9.0 is different:
with ipympl 0.9.0
Opening the notebook with uv run --with ipympl==0.9.0 --with matplotlib'<'3.7 --with matplotlib-inline==0.1.7 --with jupyterlab_rise jupyter lab and running the cell gives a working interactive plot, but when opening the presentation, CPU usage goes up to 100%, the two plots constantly redraw and become unusuable:
Versions
For the first example, these are the versions:
python -c "import sys; print('\n',sys.version); import ipympl; print('ipympl version:', ipympl.__version__)" && jupyter --version && jupyter nbextension list && jupyter labextension list-->
3.12.3 (main, Nov 6 2025, 13:44:16) [GCC 13.3.0]
ipympl version: 0.9.0
Selected Jupyter core packages...
IPython : 8.38.0
ipykernel : 7.1.0
ipywidgets : 7.8.5
jupyter_client : 8.8.0
jupyter_core : 5.9.1
jupyter_server : 2.17.0
jupyterlab : 4.5.2
nbclient : 0.10.4
nbconvert : 7.16.6
nbformat : 5.10.4
notebook : 7.5.2
qtconsole : not installed
traitlets : 5.14.3
JupyterLab v4.5.2
/home/.../jupyter/labextensions
jupyterlab_pygments v0.3.0 enabled OK (python, jupyterlab_pygments)
jupyter-matplotlib v0.11.0 enabled OK
jupyterlab-rise v0.43.1 enabled OK (python, jupyterlab_rise)
@jupyterlab/mathjax3-extension v4.3.0 enabled X (python, jupyterlab-mathjax3)
@jupyter-notebook/lab-extension v7.5.2 enabled OK
@jupyter-widgets/jupyterlab-manager v3.1.11 enabled OK (python, jupyterlab_widgets)
The following extensions may be outdated or specify dependencies that are incompatible with the current version of jupyterlab:
@jupyterlab/mathjax3-extension
If you are a user, check if an update is available for these packages.
If you are a developer, re-run with `--verbose` flag for more details.
(I assume mathjax3 is not the issue here since the plot works fine outside of RISE.)
I'm not sure whether this behavior is due to ipympl or jupyterlab-rise. I'd be happy about any hints on what could be a working combination of versions, or any hints on how to work around the endless redrawing with 0.9.0. I'm also happy to do further investigations if helpful.