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https://issues.apache.org/jira/browse/BEAM-11777?focusedWorklogId=594775&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-594775
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ASF GitHub Bot logged work on BEAM-11777:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 11/May/21 20:14
Start Date: 11/May/21 20:14
Worklog Time Spent: 10m
Work Description: TheNeuralBit merged pull request #14438:
URL: https://github.com/apache/beam/pull/14438
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Issue Time Tracking
-------------------
Worklog Id: (was: 594775)
Time Spent: 15h 50m (was: 15h 40m)
> 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 50m
> 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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