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https://issues.apache.org/jira/browse/BEAM-11777?focusedWorklogId=594762&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-594762
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ASF GitHub Bot logged work on BEAM-11777:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 11/May/21 20:00
Start Date: 11/May/21 20:00
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
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```diff
@@ Coverage Diff @@
## master #14438 +/- ##
==========================================
+ Coverage 83.61% 83.65% +0.04%
==========================================
Files 442 439 -3
Lines 59263 59094 -169
==========================================
- Hits 49554 49437 -117
+ Misses 9709 9657 -52
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 594762)
Time Spent: 15h 40m (was: 15.5h)
> 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: 15h 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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