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https://issues.apache.org/jira/browse/SPARK-58533?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-58533.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 57734
[https://github.com/apache/spark/pull/57734]
> Use native Spark function for NumPy float_power
> -----------------------------------------------
>
> Key: SPARK-58533
> URL: https://issues.apache.org/jira/browse/SPARK-58533
> Project: Spark
> Issue Type: Sub-task
> Components: Pandas API on Spark
> Affects Versions: 5.0.0
> Reporter: Ruifeng Zheng
> Assignee: Ruifeng Zheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> Replace the pandas UDF implementation of the pandas-on-Spark NumPy
> float_power compatibility mapping with a native Spark SQL expression.
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