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Because we want to try and keep are environment self contained, we’d suggest first looking at using Conda.

Perform the following to check if it is available as a conda Conda package:

(/cluster/medbow/project/<project-name>/software/pytorch/pytorch_env) []$ conda search pandas
Loading channels: done
# Name                       Version           Build  Channel
...
pandas                         2.1.4  py39hddac248_0  conda-forge
...
pandas                         2.2.2  py39hfc16268_1  conda-forge

Notice: This package is within the conda-forge channel. Do you have this configured?

Notice: The numpy package was installed as part of the original torch install, but is going to be downgraded from 2.1.0 to 1.26.4!

• This is a reason

• to maybe not set the always_yes option in the ~/.condarc file. If you have this set to yes, then the installation would have continued regardless.

• How does this downgraded version potentially affect torch?

• With out testing, we don’t know.

• We would suggest not downgrading.

• Instead create a separate Conda environment for Pandas so we do not run into potential dependency issues.