You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Brian Hulette (Jira)" <ji...@apache.org> on 2021/02/08 20:27:00 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:
---------------------------------
Description:
{DataFrame,Series}.{all, any, max, min, prod, mean, median, std, var, 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 (ddof= for std).
was:
{DataFrame,Series}.{all, any, max, min, prod, mean, median, std, var, 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 (ddof= for std).
> 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
>
> {DataFrame,Series}.{all, any, max, min, prod, mean, median, std, var, 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 (ddof= for std).
--
This message was sent by Atlassian Jira
(v8.3.4#803005)