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  • MuellerSeb · 2 ✖

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  • Revisiting Xarray's Minimum dependency versions policy · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1514362199 https://github.com/pydata/xarray/issues/7765#issuecomment-1514362199 https://api.github.com/repos/pydata/xarray/issues/7765 IC_kwDOAMm_X85aQ1VX MuellerSeb 19690642 2023-04-19T08:47:08Z 2023-04-19T08:47:08Z NONE

Pandas seems to also look at the policies of its dependencies like Numpy: https://numpy.org/neps/nep-0029-deprecation_policy.html#support-table

See: https://github.com/pandas-dev/pandas/issues/52513

 
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   Revisiting Xarray's Minimum dependency versions policy 1673579421
1514353030 https://github.com/pydata/xarray/issues/7765#issuecomment-1514353030 https://api.github.com/repos/pydata/xarray/issues/7765 IC_kwDOAMm_X85aQzGG MuellerSeb 19690642 2023-04-19T08:40:02Z 2023-04-19T08:40:02Z NONE

What about dependencies like pandas? Maybe it could be a good idea to synchronize policies to avoid conflicts there.

As written before, xarray is currently broken when installing it with pip install xarray on Python 3.8 (default version on Ubuntu 20.04 (2 years of support still) for example), since Pandas 2 will be installed as a dependency.

I now need to add this to the dependency list of my packages depending on xarray: pandas<2; python_version=='3.8' Maybe this should be documented somewhere. But it is still inconvenient.

 
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   Revisiting Xarray's Minimum dependency versions policy 1673579421

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