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https://issues.apache.org/jira/browse/SPARK-36671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36671:
------------------------------------
Assignee: Apache Spark
> Support Series.__and__ for Integral
> -----------------------------------
>
> 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
> Assignee: Apache Spark
> 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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