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https://issues.apache.org/jira/browse/SPARK-58718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Haotian Sun updated SPARK-58718:
--------------------------------
    Affects Version/s: 4.4.0
                           (was: 5.0.0)

> Fix signbit for -0.0 and nullable dtypes
> ----------------------------------------
>
>                 Key: SPARK-58718
>                 URL: https://issues.apache.org/jira/browse/SPARK-58718
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Pandas API on Spark
>    Affects Versions: 4.4.0
>            Reporter: Haotian Sun
>            Priority: Major
>
> np.signbit in the pandas API on Spark maps to F.when(c < 0, 
> True).otherwise(False), which returns the wrong result for -0.0: 
> np.signbit(-0.0) is True because the IEEE-754 sign bit is set, but -0.0 < 0 
> is False, so the current mapping returns False. It also does not propagate a 
> genuine missing value (<NA>) from a nullable dtype such as Int64.
> This subtask makes the mapping match NumPy for signed zero and for 
> nullable-dtype nulls, following the same approach recently used for copysign 
> (SPARK-58630). Found while working on the SPARK-58532 umbrella.



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