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  • dopplershift · 2 ✖

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  • .item() on a DataArray with dtype='datetime64[ns]' returns int · 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
565183733 https://github.com/pydata/xarray/issues/3256#issuecomment-565183733 https://api.github.com/repos/pydata/xarray/issues/3256 MDEyOklzc3VlQ29tbWVudDU2NTE4MzczMw== dopplershift 221526 2019-12-12T20:57:56Z 2019-12-12T20:57:56Z CONTRIBUTOR

Yeah, it's not much shorter, but it's a much easier concept for new users to grasp, IMO.

 
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   .item() on a DataArray with dtype='datetime64[ns]' returns int 484699415
563511116 https://github.com/pydata/xarray/issues/3256#issuecomment-563511116 https://api.github.com/repos/pydata/xarray/issues/3256 MDEyOklzc3VlQ29tbWVudDU2MzUxMTExNg== dopplershift 221526 2019-12-10T01:00:00Z 2019-12-10T01:00:00Z CONTRIBUTOR

Well it'd be nice to have something, because what we have to do right now is: python times[0].values.astype('datetime64[ms]').astype('O') which is an abomination and terrible for teaching.

 
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   .item() on a DataArray with dtype='datetime64[ns]' returns int 484699415

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