Aha, yes. First of all it is a bit dangerous to use pip to install packages into the atkpython distribution, but it is possible as I will show below. But first some background: While Python and Pip makes it appear as you can just install/update/replace packages that is actually not the case: The version and requirements of packages are one thing, but many Python packages use modules written in C/C++/Fortran and those need to be compiled against specific source code version of e.g. numpy/scipy and third party libraries like Intel MKL, OpenMP, MPI and even the C/C++ standard libraries. The only time where one can be truly sure that pip packages work together is if they all are downloaded from PyPi. But many of the PyPi packages don't work with our code and are maybe not using efficient math libraries, which is why other distributions like Conda also exist to try to solve this problem.
Now back to your problem at hand: You likely used
pip install -U searborn or
atkpython -m pip install -U seaborn. With the
-U option it will install/upgrade the library and all other libraries/dependencies. This will also replace our shipped version of numpy with the newest from PyPi which will not work with the rest of the code as Numpy is a compiled C/Fortran library with Python wrappers. You now corrupted your installation of QuantumATK and you have to uninstall it and install it again to fix the problem.
There are some approaches to install seaborn into your atkpython distribution.
If you are using version 2022.12 (I think - you can try it out) or newer it should be possible to use Python virtual environments. If you create a virtual environment and install seaborn into that you don't risk corrupting the QuantumATK installation, so we recommend this approach. You can do:
C:\Program Files\QuantumATK\QuantumATK-VERSION\atkpython\python.exe -m venv --site-packages .
to create a Python venv in the current directory, then activate and use that. You should probably first go though one of the many guides on Python virtual environments:
Using the virtual environment Python you should be able to run
python -m pip install seaborn. In the virtual environment you won't have access to atkpython and quantumatk executables, but atkpython is basically just normal Python that does an
from QuantumATK import * as the first thing. So you can run your atkpython scripts with the venv Python by putting this import statement at the top.
If you don't have access to QuantumATK-2022.12 or newer you can install seaborn in your user folder:
atkpython -m pip install --user seaborn, then you don't mix atkpython libraries and libraries you installed yourself.
Whatever you do the most crucial part is that you do
NOT update/upgrade pip packages, i.e. do NOT use the
pip install -U option! This will potentially overwrite shipped numpy, scipy and other compiled libraries with default PyPi versions which are incompatible with the rest of the program. If you accidentally do that, you will have to reinstall QuantumATK.
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