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  • TomNicholas · 2 ✖

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  • Interoperability with Pandas 2.0 non-nanosecond datetime · 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
1411324206 https://github.com/pydata/xarray/issues/7493#issuecomment-1411324206 https://api.github.com/repos/pydata/xarray/issues/7493 IC_kwDOAMm_X85UHxku TomNicholas 35968931 2023-02-01T01:42:49Z 2023-02-01T01:42:49Z MEMBER

@khider we are more than happy to help with digging into the codebase! A reasonable place to start would be just trying the operation you want to perform, and looking through the code for the functions any errors get thrown from.

You are also welcome to join our bi-weekly community meetings (there is one tomorrow morning!) or the office hours we run.

 
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   Interoperability with Pandas 2.0 non-nanosecond datetime 1563104480
1409354614 https://github.com/pydata/xarray/issues/7493#issuecomment-1409354614 https://api.github.com/repos/pydata/xarray/issues/7493 IC_kwDOAMm_X85UAQt2 TomNicholas 35968931 2023-01-30T21:18:36Z 2023-01-30T21:18:36Z MEMBER

Hi @khider , thanks for raising this.

For those of us who haven't tried to use non-nanosecond datetimes before (e.g. me), could you possibly expand a bit more on

However, most of the interesting functionalities of xarray don't seem to support this datetime out-of-box:

specifically, where are errors being thrown from within xarray? And what functions are you referring to as examples? 

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   Interoperability with Pandas 2.0 non-nanosecond datetime 1563104480

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