dgd_contributor created SPARK-36671:
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Summary: 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
{code:python}
>>> pser1 = pd.Series([1, 2, 3])
>>> pser2 = pd.Series([4, 5, 6, 7])
>>> pser1 ^ pser2
0 True
1 True
2 True
3 False
dtype: bool
>>> 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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