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Posted to issues@spark.apache.org by "Haotian Sun (Jira)" <ji...@apache.org> on 2026/09/18 07:05:00 UTC

[jira] [Commented] (SPARK-59630) Explain NumPy ufunc type behavior

    [ https://issues.apache.org/jira/browse/SPARK-59630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18116647#comment-18116647 ] 

Haotian Sun commented on SPARK-59630:
-------------------------------------

Pull request available: https://github.com/apache/spark/pull/58847

> Explain NumPy ufunc type behavior
> ---------------------------------
>
>                 Key: SPARK-59630
>                 URL: https://issues.apache.org/jira/browse/SPARK-59630
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Pandas API on Spark
>    Affects Versions: 4.4.0
>            Reporter: Haotian Sun
>            Priority: Major
>              Labels: pull-request-available
>
> Document why Spark-backed NumPy ufunc mappings can produce result types that differ from NumPy, including FloatType-to-DoubleType widening and existing operand type behavior.



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