[jira] [Commented] (SPARK-36671) Support __and__ in num_ops.py

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

    [ https://issues.apache.org/jira/browse/SPARK-36671?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17411009#comment-17411009 ] 

dgd_contributor commented on SPARK-36671:
-----------------------------------------

working on this

> Support __and__ in num_ops.py
> -----------------------------
>
>                 Key: SPARK-36671
>                 URL: https://issues.apache.org/jira/browse/SPARK-36671
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 3.3.0
>            Reporter: dgd_contributor
>            Priority: Major
>
> {code:python}
> >>> pser1 = pd.Series([1, 2, 3])
> >>> pser2 = pd.Series([4, 5, 6, 7])
> >>> pser1 & pser2
> 0    False
> 1    False
> 2     True
> 3    False
> dtype: bool
> >>> pser1 = pd.Series([1, 2, 3])
> >>> pser2 = pd.Series([4, 5, 6])
> >>> pser1 & pser2
> 0    0
> 1    0
> 2    2
> dtype: int64
> >>> pser1 = ps.Series([1, 2, 3])
> >>> pser2 = ps.Series([4, 5, 6, 7])
> >>> pser1 & pser2
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/Users/dgd/spark/python/pyspark/pandas/base.py", line 423, in __and__
>     return self._dtype_op.__and__(self, other)
>   File "/Users/dgd/spark/python/pyspark/pandas/data_type_ops/base.py", line 317, in __and__
>     raise TypeError("Bitwise and can not be applied to %s." % self.pretty_name)
> TypeError: Bitwise and can not be applied to integrals.
> {code}
>  



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