[jira] [Commented] (BEAM-11305) df.groupby(df.group) produces duplicate column for some aggregation functons

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-11305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17299734#comment-17299734 ] 

Beam JIRA Bot commented on BEAM-11305:
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This issue was marked "stale-P2" and has not received a public comment in 14 days. It is now automatically moved to P3. If you are still affected by it, you can comment and move it back to P2.

> df.groupby(df.group) produces duplicate column for some aggregation functons
> ----------------------------------------------------------------------------
>
>                 Key: BEAM-11305
>                 URL: https://issues.apache.org/jira/browse/BEAM-11305
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>    Affects Versions: 2.25.0
>            Reporter: Brian Hulette
>            Priority: P3
>
> It should be possible to use {{df.groupby(df.group)}} or {{df.groupby('group')}} and get the same result. Unfortunately for some aggregation functions (max, min, all, any), the former produces an output with an extraneous 'group' column. Note this doesn't happen for some functions, like size.
> In groupby, we should check if the the series is one of this dataframe's columns when setting the index: https://github.com/apache/beam/blob/cdb882d9ae554556156bff4843f18567b214df13/sdks/python/apache_beam/dataframe/frames.py#L156



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