[jira] [Commented] (SPARK-39048) Refactor GroupBy._reduce_for_stat_function on accepted data types

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-39048?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17528927#comment-17528927 ] 

Apache Spark commented on SPARK-39048:
--------------------------------------

User 'xinrong-databricks' has created a pull request for this issue:
https://github.com/apache/spark/pull/36382

> Refactor GroupBy._reduce_for_stat_function on accepted data types 
> ------------------------------------------------------------------
>
>                 Key: SPARK-39048
>                 URL: https://issues.apache.org/jira/browse/SPARK-39048
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 3.4.0
>            Reporter: Xinrong Meng
>            Priority: Major
>
> `Groupby._reduce_for_stat_function` is a common helper function leveraged by multiple statistical functions of GroupBy objects.
> It defines parameters `only_numeric` and `bool_as_numeric` to control accepted Spark types.
> To be consistent with pandas API, we may also have to introduce `str_as_numeric` for `sum` for example.
> Instead of introducing parameters designated for each Spark type, the PR is proposed to introduce a parameter `accepted_spark_types` to specify accepted types of Spark columns to be aggregated.



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