Question 135767 in Visual Studio Code Question posted in
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Visual Studio Code Jupyter not recognising conda kernel

I created a new conda environment named ‘ct’ and installed Python 3.10.6, Jupyter Lab, matplotlib and numpy. Also the ipykernel is installed.

VS Code lets me select Python 3.10.6 from ‘ct’ as interpreter without issues.

VS Code select interpreter

But I cannot choose ‘ct’ as kernel as VS Code only suggests the ‘base’ kernel from conda. ‘base’ does not have the desired packages installed which leads to the following error when running this code:

import matplotlib as mat
print(mat.__version__)

error:

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Untitled-1.ipynb Cell 1 in <cell line: 1>()
----> 1 import matplotlib as mat
      2 print(mat.__version__)

ModuleNotFoundError: No module named 'matplotlib'

This is actually totally fine but I don’t get why the ‘ct’ kernel is not showing up in the list when trying to change the kernel.

Cannot choose kernel

Also when running jupyter lab in browser from ‘ct’ environment everything is working as should.

When listing all installed packages in ‘ct’ in the VS Code terminal all packages show up.

Restarting VS Code and trying with other new conda environments does not help the issue.

Did I somehow miss something?

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5

Answers


  1. Chosen as BEST ANSWER
    0

    What finally worked out for me was closing VS Code entirely, recreating the environment and creating a new blank notebook in VS Code. Now the kernel shows up and is surprisingly available for all new and old notebooks.

    I also found this option in the Jupyter settings in VS Code: https://i.stack.imgur.com/rcJU6.png

    I haven't tried it yet, but it might be helpful to someone experiencing similar issues.

    Also Zac's solution above might be super helpful. Thank you for sharing!


  2. 0

    enter image description here

    Obviously, this is not a universal problem.

    You can read the docs and recreate the conda environment.

    This may also be related to the fact that your conda environment is not activated. Use the command conda activate ct to activate it.

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  3. 0

    Switching to the "pre-release" version of the Jupyter extension immediately solved this problem for me.

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  4. 0

    I solved this issue by opening the directory in VS Code, instead of only the .ipynb file.

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  5. 0

    Try this conda install -n meta_ai ipykernel --update-deps --force-reinstall
    Somehow it solved my problems.
    If it still can’t solve your problem, try also opening the directory in VS Code, instead of only the .ipynb file.

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