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https://issues.apache.org/jira/browse/BEAM-11777?focusedWorklogId=584549&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-584549
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ASF GitHub Bot logged work on BEAM-11777:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 17/Apr/21 00:01
            Start Date: 17/Apr/21 00:01
    Worklog Time Spent: 10m 
      Work Description: codecov[bot] edited a comment on pull request #14438:
URL: https://github.com/apache/beam/pull/14438#issuecomment-813733106


   # 
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 Report
   > Merging 
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 (985e2f0) will **decrease** coverage by `0.11%`.
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   > :exclamation: Current head 7561750 differs from pull request most recent 
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   ```diff
   @@            Coverage Diff             @@
   ##           master   #14438      +/-   ##
   ==========================================
   - Coverage   83.61%   83.50%   -0.12%     
   ==========================================
     Files         445      449       +4     
     Lines       59025    59070      +45     
   ==========================================
   - Hits        49355    49327      -28     
   - Misses       9670     9743      +73     
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 584549)
    Time Spent: 7h 40m  (was: 7.5h)

> Support correct kwargs in aggregation methods on DataFrame, Series
> ------------------------------------------------------------------
>
>                 Key: BEAM-11777
>                 URL: https://issues.apache.org/jira/browse/BEAM-11777
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Brian Hulette
>            Priority: P2
>              Labels: dataframe-api
>          Time Spent: 7h 40m
>  Remaining Estimate: 0h
>
> {DataFrame,Series}.{all, any, max, min, prod, mean, median, sum} are all 
> implemented via frame_base._agg_method, which just re-uses 
> {DataFrame,Series}.agg}. However the pandas operations have some different 
> kwargs that are not supported by agg. Some are universal (level=, skip_na=), 
> others are unique to each operation (numeric_only= or bool_only=).



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