xinrong-databricks commented on a change in pull request #32785:
URL: https://github.com/apache/spark/pull/32785#discussion_r647616907
##########
File path: python/pyspark/pandas/data_type_ops/base.py
##########
@@ -52,33 +52,42 @@
from pyspark.pandas.series import Series # noqa: F401 (SPARK-34943)
-def is_valid_operand_for_numeric_arithmetic(operand: Any, *, allow_bool: bool
= True) -> bool:
- """Check whether the operand is valid for arithmetic operations against
numerics."""
+def is_valid_operand_for_numeric_arithmetic(
+ operand: Any, *, allow_bool_index_ops: bool = True, allow_bool: bool = True
Review comment:
Good question. There is not a case where only bool index should be
allowed alone, but here is a case `allow_bool_index_ops` is `False`, whereas
`allow_bool` is `True`, for example
```py
>>> ps.Series([True, False, True]) + ps.Series([True, False, True])
Traceback (most recent call last):
...
TypeError: Addition can not be applied to booleans and the given type.
>>> ps.Series([True, False, True]) + True
0 True
1 True
2 True
dtype: bool
```
In case you are interested, there is a case `allow_bool_index_ops` and
`allow_bool` are both `True`, for example
```py
>>> ps.Series([1, 2, 3]) + ps.Series([True, False, True])
0 2
1 2
2 4
dtype: int64
>>> ps.Series([1, 2, 3]) + True
0 2
1 3
2 4
dtype: int64
```
And there is a case `allow_bool_index_ops` and `allow_bool` are both
`False`, for example
```py
>> ps.Series([True, False, True]) - ps.Series([True, False, True])
Traceback (most recent call last):
...
TypeError: Subtraction can not be applied to booleans and the given type.
>>> ps.Series([True, False, True]) - True
Traceback (most recent call last):
...
TypeError: Subtraction can not be applied to booleans and the given type.
```
That's why `allow_bool_index_ops` might be needed. Does that make sense?
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