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2 rows where issue = 207587161 and user = 5635139 sorted by updated_at descending

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  • max-sixty · 2 ✖

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  • GroupBy like API for resample · 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
280101839 https://github.com/pydata/xarray/issues/1269#issuecomment-280101839 https://api.github.com/repos/pydata/xarray/issues/1269 MDEyOklzc3VlQ29tbWVudDI4MDEwMTgzOQ== max-sixty 5635139 2017-02-15T18:49:32Z 2017-02-15T18:49:32Z MEMBER

the only sticking point I've come across so far is how to have the resulting Data{Array,set}GroupBy object "remember" the resampling dimension

I think an interface like ds.resample(time='24H').mean() would be much better. We could do that with a wrapper of pd.TimeGrouper that also had a dim field. Or inheritance 😨

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  GroupBy like API for resample 207587161
280101190 https://github.com/pydata/xarray/issues/1269#issuecomment-280101190 https://api.github.com/repos/pydata/xarray/issues/1269 MDEyOklzc3VlQ29tbWVudDI4MDEwMTE5MA== max-sixty 5635139 2017-02-15T18:47:20Z 2017-02-15T18:47:20Z MEMBER

Would be great to test for these sorts of issues if we redo this: https://github.com/pydata/xarray/issues/1269

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  GroupBy like API for resample 207587161

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   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
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