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2 rows where issue = 132774456 and user = 1217238 sorted by updated_at descending

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  • shoyer · 2 ✖

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  • Ordered Groupby Keys · 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
182676967 https://github.com/pydata/xarray/issues/757#issuecomment-182676967 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDE4MjY3Njk2Nw== shoyer 1217238 2016-02-11T02:32:59Z 2016-02-12T00:15:48Z MEMBER

For what it's worth, I don't think we have any good solutions short of adding our own array type do to Categorical in xarray. We could set sort=False in some cases when we call pd.factorize but that's not a great alternative.

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  Ordered Groupby Keys 132774456
182659762 https://github.com/pydata/xarray/issues/757#issuecomment-182659762 https://api.github.com/repos/pydata/xarray/issues/757 MDEyOklzc3VlQ29tbWVudDE4MjY1OTc2Mg== shoyer 1217238 2016-02-11T00:48:18Z 2016-02-11T00:48:18Z MEMBER

I agree this is annoying, but I don't think your diagnosis is correct here. The groups property isn't used by any internal routines AFAICT. The issue is that groups are sorted, but as text rather than ordered categorical -- notice that the labels are ordered alphabetically.

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