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where author_association = "MEMBER", issue = 257070215 and user = 1217238 sorted by updated_at descending

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  • shoyer · 2 ✖

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  • Grouping with multiple levels · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
328969009 https://github.com/pydata/xarray/issues/1569#issuecomment-328969009 https://api.github.com/repos/pydata/xarray/issues/1569 MDEyOklzc3VlQ29tbWVudDMyODk2OTAwOQ== shoyer 1217238 2017-09-12T20:05:39Z 2017-09-12T20:05:39Z MEMBER

The "Edit on GitHub" link at the top right of doc page is probably the most convenient way for primary doc pages. It should walk you through making a pull request if you hit the "Edit this file" icon (next to the trash bin) at the top right of the file on GitHub.

To clarify on level: it's not supported, but instead you can simply pass the name of a MultiIndex level directly as a name. Multiple arguments are truly not supported yet (https://github.com/pydata/xarray/issues/324).

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  Grouping with multiple levels 257070215
328939373 https://github.com/pydata/xarray/issues/1569#issuecomment-328939373 https://api.github.com/repos/pydata/xarray/issues/1569 MDEyOklzc3VlQ29tbWVudDMyODkzOTM3Mw== shoyer 1217238 2017-09-12T18:21:36Z 2017-09-12T18:21:36Z MEMBER

We should clarify: we support a subset of the pandas API. The level argument and grouping by multiple variables at once is not yet supported.

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  Grouping with multiple levels 257070215

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
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   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
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   [issue] INTEGER REFERENCES [issues]([id])
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