Jupyter notebook 无法从 nb_conda_kernels 找到 conda 环境的内核

Question

I use different conda environments for different Python projects, and used to happily use nb_conda_kernels to access kernels for those environments in the Jupyter notebook. They would be available in the 'New' drop-down with names like Python [conda env:project42] . After some updates, none of these kernels are showing up in Jupyter, and when I try to open a notebook that had been using one of these kernels I get Kernel not found - Could not find a kernel matching Python [conda env:project42] *. Please select a kernel: Kernel not found - Could not find a kernel matching Python [conda env:project42] *. Please select a kernel: . The only option is Python 3 .

I've checked that all the environments are still there in conda (with conda env list ) and that each one has the ipykernel package installed.

The environment where I'm launching Jupyter from has all of the following (among many others):

ipykernel 5.1.4 py37h39e3cac_0 ipython 7.13.0 py37h5ca1d4c_0 jupyter 1.0.0 py37_7 jupyter_client 6.0.0 py_0 nb_conda 2.2.1 py37_0 nb_conda_kernels 2.2.2 py37_0 python 3.7.0 h6e4f718_3

Should I be using jupyter_conda instead of nb_conda? How can I see what nb_conda_kernels is trying to do or what errors it is having? I can create kernels manually but it would be time consuming to do this for every environment I have.

Any tips greatly appreciated! Let me know if I can provide any more version/system details.

Answer 1

I fixed it by upgrading nb_conda_kernels to version 2.2.3! The release notes mention that this version is a fix for jupyter_client 6. I created a new environment just for the notebook so it's possible there were some other factors at play as well. In the new environment I ran conda install --channel conda-forge nb_conda_kernels to install version 2.2.3.