“python_requires” should be set with “>=3.6”, as sklearn-pandas 2.2.0 is not compatible with all Python versions

[PyVCEchecker]

Currently, the keyword argument python_requires of setup() is not set, and thus it is assumed that this distribution is compatible with all Python versions.
However, I found it is not compatible with Python<3.6. My local Python version is 3.5, and I encounter the following error when executing “pip install sklearn-pandas”

ERROR: Could not find a version that satisfies the requirement scikit-learn>=0.23.0 (from sklearn-pandas) (from versions: 0.9, 0.10, 0.11, 0.12, 0.12.1, 0.13, 0.13.1, 0.14, 0.14.1, 0.15.0b1, 0.15.0b2, 0.15.0, 0.15.1, 0.15.2, 0.16b1, 0.16.0, 0.16.1, 0.17b1, 0.17, 0.17.1, 0.18rc2, 0.18, 0.18.1, 0.18.2, 0.19b2, 0.19.0, 0.19.1, 0.19.2, 0.20rc1, 0.20.0, 0.20.1, 0.20.2, 0.20.3, 0.20.4, 0.21rc2, 0.21.0, 0.21.1, 0.21.2, 0.21.3, 0.22rc2.post1, 0.22rc3, 0.22, 0.22.1, 0.22.2.post1)  
ERROR: No matching distribution found for scikit-learn>=0.23.0 (from sklearn-pandas)

Dependencies of this distribution are listed as follows:

'scikit-learn>=0.23.0',
'scipy>=1.5.1',
'pandas>=1.1.4',
'numpy>=1.18.1'

I found that scikit-learn>=0.23.0, scipy>=1.5.1 and pandas>=1.14 require Python>=3.6, which results in installation failure of sklearn-pandas in Python3.5.

Way to fix:
modify setup() in setup.py, add python_requires keyword argument:

setup(…
     python_requires='>=3.6'
     …)

Thanks for your attention.
Best regrads,
PyVCEchecker

[hu-minghao]

你好，已收到，谢谢。