[jira] [Resolved] (SPARK-36142) Adjust exponentiation between Series with missing values and bool literal to follow pandas

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-36142?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-36142.
----------------------------------
    Fix Version/s: 3.2.0
       Resolution: Fixed

Issue resolved by pull request 33521
[https://github.com/apache/spark/pull/33521]

> Adjust exponentiation between Series with missing values and bool literal to follow pandas
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-36142
>                 URL: https://issues.apache.org/jira/browse/SPARK-36142
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 3.2.0
>            Reporter: Xinrong Meng
>            Assignee: Yikun Jiang
>            Priority: Major
>             Fix For: 3.2.0
>
>
> Currently, exponentiation between ExtentionDtypes and bools is not consistent with pandas' behavior.
>  
> {code:java}
>  >>> pser = pd.Series([1, 2, np.nan], dtype=float)
>  >>> psser = ps.from_pandas(pser)
>  >>> pser ** False
>  0 1.0
>  1 1.0
>  2 1.0
>  dtype: float64
>  >>> psser ** False
>  0 1.0
>  1 1.0
>  2 NaN
>  dtype: float64
> {code}
> We ought to adjust that.
>  



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