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  • mathause · 2 ✖

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  • Numpy 1.18 support · 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
554485350 https://github.com/pydata/xarray/pull/3537#issuecomment-554485350 https://api.github.com/repos/pydata/xarray/issues/3537 MDEyOklzc3VlQ29tbWVudDU1NDQ4NTM1MA== mathause 10194086 2019-11-15T18:57:01Z 2019-11-15T18:57:01Z MEMBER

Ok, thanks for the clarification. 

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   Numpy 1.18 support 523438384
554355882 https://github.com/pydata/xarray/pull/3537#issuecomment-554355882 https://api.github.com/repos/pydata/xarray/issues/3537 MDEyOklzc3VlQ29tbWVudDU1NDM1NTg4Mg== mathause 10194086 2019-11-15T13:20:16Z 2019-11-15T13:20:16Z MEMBER

Given https://github.com/numpy/numpy/pull/14841 - is this worth the extra complexity?

Currently xarray is only broken wrt numpy master and there is a chance https://github.com/numpy/numpy/pull/14841 gets into 1.18 - then we could just use np.nanmin?

Also - is this the only place of min for datetimes? Should this also go into the operator dispatcher?

 
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   Numpy 1.18 support 523438384

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