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Posted to issues@beam.apache.org by "Brian Hulette (Jira)" <ji...@apache.org> on 2021/05/11 20:16:00 UTC
[jira] [Updated] (BEAM-11777) Support correct kwargs in aggregation
methods on DataFrame, Series
[ https://issues.apache.org/jira/browse/BEAM-11777?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Brian Hulette updated BEAM-11777:
---------------------------------
Fix Version/s: 2.31.0
Resolution: Fixed
Status: Resolved (was: Open)
> 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
> Fix For: 2.31.0
>
> 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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