[jira] [Commented] (SPARK-36762) Fix Series.isin when Series has NaN values

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-36762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17415434#comment-17415434 ] 

Apache Spark commented on SPARK-36762:
--------------------------------------

User 'dgd-contributor' has created a pull request for this issue:
https://github.com/apache/spark/pull/34005

> Fix Series.isin when Series has NaN values
> ------------------------------------------
>
>                 Key: SPARK-36762
>                 URL: https://issues.apache.org/jira/browse/SPARK-36762
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 3.3
>            Reporter: dgd_contributor
>            Priority: Major
>
> {code:python}
> >>> pser = pd.Series([None, 5, None, 3, 2, 1, None, 0, 0])
> >>> psser = ps.from_pandas(pser)
> >>> pser.isin([1, 3, 5, None])
> 0    False
> 1     True
> 2    False
> 3     True
> 4    False
> 5     True
> 6    False
> 7    False
> 8    False
> dtype: bool
> >>> psser.isin([1, 3, 5, None])
> 0    None                                                                       
> 1    True
> 2    None
> 3    True
> 4    None
> 5    True
> 6    None
> 7    None
> 8    None
> dtype: object
> {code}



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