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Posted to issues@spark.apache.org by "dgd_contributor (Jira)" <ji...@apache.org> on 2021/09/06 02:53:00 UTC
[jira] [Updated] (SPARK-36671) Support __and__ in num_ops.py
[ https://issues.apache.org/jira/browse/SPARK-36671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
dgd_contributor updated SPARK-36671:
------------------------------------
Description:
{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 = 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}
was:
{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}
> 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 = 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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