Resolve warning "A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy"?

According to the setup.py file of the scipy 1.7.3, numpy is indeed <1.23.0. As @Libra said, the docs must be incorrect. You can:

1. Ignore this warning
2. Use scipy 1.8
3. Use numpy < 1.23.0

Edit:

This is now fixed in the dev docs of scipy https://scipy.github.io/devdocs/dev/toolchain.html

I have the same issue.

The scipy 1.7.3 docs specifies 1.16.5 <= numpy <1.24.0 while in scipy 1.7.3 code setup.py and __init__.py we have np_maxversion = '1.23.0'.

As I rely on conda channel defaults to setup Intel MKL libraries for numpy and scipy I decided to pin "numpy>=1.22.3,<1.23.0" until a newer scipy is release on conda channel defaults:

conda create -n myenv python "numpy>=1.22.3,<1.23.0" scipy

Since "UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required", you can update the numpy version with the specified range to remove the warning.

According to syntax guidelines of conda and pip, updating your numpy version by

conda install "numpy>=1.16.5,<1.23.0"

or

pip install "numpy>=1.16.5,<1.23.0"

inside your environment will work.

Your numpy will be overwritten by the best-match version (1.22.4) in the specified range. You can double-check the new numpy version by:

conda list numpy

or

pip show numpy

For my similar problem pip install "numpy>=1.16.5,<1.23.0" That works too.