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ipympl support for classic Jupyter notebook (6.5.2-6.5.4) #525
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@pythonic2020 can you please post the output of the command in the bug report: When I make a new environment with |
Note that I just updated my conda env to notebook 6.5.3 today. 3.9.16 | packaged by conda-forge | (main, Feb 1 2023, 21:28:38) [MSC v.1929 64 bit (AMD64)]
JupyterLab v3.6.1 There is no error, but the kernel becomes intermittent when I run ipympl-related 3d interactive plotting in classic notebook 6.5.3 (see example code below from ipympl docs). Rotating the plot with the mouse works for a while, then the kernel breaks, after which interactive functions will not work.
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Are there any error messages printed to the terminal you started the notebook from? Also can you check if there are error messages in the browser console: https://balsamiq.com/support/faqs/browserconsole/ |
Then the connection restarts:
I have tornado 6.2 installed:
Second run:
There are no pertinent messages in Firefox browser console. Third run, kernel really quits this time, will not restart:
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If I create a new, fresh conda-forge based Python 3.9 env and install just matplotlib, notebook, and ipympl (and required dependencies), the issue still occurs. |
Those errors seem to be upstream of ipympl. Can you try this code: from ipywidgets import IntSlider
slider = IntSlider()
display(slider)
Can you post the exact command you used to make the new env |
Your IntSlider code above works perfectly in a classic notebook. Env creation:
After the above env creation and package installation, all packages are from conda-forge repo. Output of the info command in the new env (jupyterlab not installed):
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I tried the 3d code in my new env in a classic notebook in MS Edge, and got these Jupyter terminal errors. Note "AttributeError: 'NoneType' object has no attribute 'advance'".
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Using notebook 7.0.0, ipympl works fine! |
ipympl 0.9.3 works fine in notebook 6.5.5 in a python 3.9.17 environment! "Case" closed. :-) |
While current ipympl (0.9.3) works perfectly in Jupyterlab, it no longer works properly in a classic Jupyter notebook 6.5.2 from conda-forge repo. Has classic notebook support for ipympl been abandoned?
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