dgd-contributor opened a new pull request #33945:
URL: https://github.com/apache/spark/pull/33945
### What changes were proposed in this pull request?
Support Series.\_\_and\_\_ and Series.\_\_or\_\_ for integral type
### Why are the changes needed?
Follow Pandas API as much as possible
``` python
>>> pser1 = pd.Series([1, 2, 3])
>>> pser2 = pd.Series([4, 5, 6])
>>> pser1 & pser2
0 False
1 False
2 True
dtype: bool
```
### Does this PR introduce _any_ user-facing change?
Yes.
Before
``` python
>>> pser1 = ps.Series([1, 2, 3])
>>> pser2 = ps.Series([4, 5, 6])
>>> pser3 = ps.Series([True, False, True])
>>> pser1 & pser2
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/dgd/spark/python/pyspark/pandas/base.py", line 420, 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.
>>> pser1 & pser3
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/dgd/spark/python/pyspark/pandas/base.py", line 420, 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.
```
After
``` python
>>> pser1 = ps.Series([1, 2, 3])
>>> pser2 = ps.Series([4, 5, 6])
>>> pser3 = ps.Series([True, False, True])
>>> pser1 & pser2
0 0
1 0
2 2
dtype: int64
>>> pser1 & pser3
0 True
1 False
2 True
dtype: bool
>>>
```
### How was this patch tested?
exist tests and add new unit tests
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