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https://issues.apache.org/jira/browse/BEAM-12444?focusedWorklogId=605485&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-605485
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ASF GitHub Bot logged work on BEAM-12444:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Jun/21 19:45
            Start Date: 02/Jun/21 19:45
    Worklog Time Spent: 10m 
      Work Description: codecov[bot] edited a comment on pull request #14930:
URL: https://github.com/apache/beam/pull/14930#issuecomment-853240417


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   > Merging 
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 (511fb05) will **increase** coverage by `0.01%`.
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   ```diff
   @@            Coverage Diff             @@
   ##           master   #14930      +/-   ##
   ==========================================
   + Coverage   83.78%   83.79%   +0.01%     
   ==========================================
     Files         435      870     +435     
     Lines       58423   116858   +58435     
   ==========================================
   + Hits        48947    97925   +48978     
   - Misses       9476    18933    +9457     
   ```
   
   
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 605485)
    Time Spent: 1h 20m  (was: 1h 10m)

> GroupBy.apply on a series grouped by a callable fails
> -----------------------------------------------------
>
>                 Key: BEAM-12444
>                 URL: https://issues.apache.org/jira/browse/BEAM-12444
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>    Affects Versions: 2.29.0, 2.30.0
>            Reporter: Brian Hulette
>            Assignee: Brian Hulette
>            Priority: P2
>              Labels: dataframe-api
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>
> {code}
> df.foo.groupby(lambda x: x % 3).apply(...)
> {code}
> This example fails because it tries to call set_index on a Series. It fails 
> at construction time, not at execution time.
> To workaround users can call groupby on a single column dataframe instead, 
> e.g. {{df[['foo']].groupby...}}



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