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3 rows where author_association = "CONTRIBUTOR" and issue = 89866276 sorted by updated_at descending

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  • sjpfenninger 1

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  • Display datetime64 arrays without showing local timezones · 3 ✖

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  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
212942750 https://github.com/pydata/xarray/issues/439#issuecomment-212942750 https://api.github.com/repos/pydata/xarray/issues/439 MDEyOklzc3VlQ29tbWVudDIxMjk0Mjc1MA== andreas-h 358378 2016-04-21T14:28:32Z 2016-04-21T14:28:32Z CONTRIBUTOR

sounds good to me, @sjpfenninger, but I don't know the internals ...

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  Display datetime64 arrays without showing local timezones 89866276
212940728 https://github.com/pydata/xarray/issues/439#issuecomment-212940728 https://api.github.com/repos/pydata/xarray/issues/439 MDEyOklzc3VlQ29tbWVudDIxMjk0MDcyOA== sjpfenninger 141709 2016-04-21T14:23:54Z 2016-04-21T14:23:54Z CONTRIBUTOR

Would it not make sense to use a pandas.DatetimeIndex instead of pure-numpy datetimes? It seems that DatetimeIndex already solves lots of the weirdness in the underlying numpy datetime objects and adds a bunch of useful functionality for things like groupby operations.

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  Display datetime64 arrays without showing local timezones 89866276
124637042 https://github.com/pydata/xarray/issues/439#issuecomment-124637042 https://api.github.com/repos/pydata/xarray/issues/439 MDEyOklzc3VlQ29tbWVudDEyNDYzNzA0Mg== andreas-h 358378 2015-07-24T19:04:09Z 2015-07-24T19:04:09Z CONTRIBUTOR

can you give a pointer to where this would need to be done in the code?

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  Display datetime64 arrays without showing local timezones 89866276

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