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issue 2

  • Revisiting Xarray's Minimum dependency versions policy 2
  • bump minimum versions, drop py38 1

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  • MuellerSeb · 3 ✖

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  • NONE 3
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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
1513228411 https://github.com/pydata/xarray/pull/7461#issuecomment-1513228411 https://api.github.com/repos/pydata/xarray/issues/7461 IC_kwDOAMm_X85aMgh7 MuellerSeb 19690642 2023-04-18T14:08:36Z 2023-04-18T14:08:36Z NONE

This also breaks xarray on ubuntu 20.04 which ships with Python 3.8 and is supported until April 2025. Python 3.8 is also supported at least until October 2024. Together with the Pandas 2 issue (that I am also running into), this is very unfortunate.

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  bump minimum versions, drop py38 1550109629

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