ueshin opened a new pull request, #54412:
URL: https://github.com/apache/spark/pull/54412
### What changes were proposed in this pull request?
Ignores `ArrowDtype` in tests with pandas 3.
### Why are the changes needed?
The `ArrowDtype` is used for the result of the predicates operations on some
dtypes in pandas 3 by default, but the values should be same as `BooleanDtype`.
It should be ignored in tests.
```py
>>> pser = pd.Series(["x", "y", "z", None], dtype="string")
>>> other_pser = pd.Series([None, "z", "y", "x"], dtype="string")
>>>
>>> pser == other_pser
0 <NA>
1 False
2 False
3 <NA>
dtype: bool[pyarrow]
>>> (pser == other_pser).astype("boolean")
0 <NA>
1 False
2 False
3 <NA>
dtype: boolean
```
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Updated the test util.
### Was this patch authored or co-authored using generative AI tooling?
No.
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