>>> 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.
Sub-task
Major
