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https://issues.apache.org/jira/browse/SPARK-59630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-59630.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 58847
[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: Documentation, Pandas API on Spark
> Affects Versions: 4.4.0
> Reporter: Haotian Sun
> Assignee: Haotian Sun
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> 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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