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https://issues.apache.org/jira/browse/BEAM-11305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17291057#comment-17291057
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Beam JIRA Bot commented on BEAM-11305:
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This issue is P2 but has been unassigned without any comment for 60 days so it
has been labeled "stale-P2". If this issue is still affecting you, we care!
Please comment and remove the label. Otherwise, in 14 days the issue will be
moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed
explanation of what these priorities mean.
> 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: P2
> Labels: stale-P2
>
> 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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