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https://issues.apache.org/jira/browse/BEAM-11305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17252228#comment-17252228
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Beam JIRA Bot commented on BEAM-11305:
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This issue is assigned but has not received an update in 30 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> 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
> Assignee: Brian Hulette
> Priority: P2
> Labels: stale-assigned
>
> 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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