zhengruifeng opened a new pull request, #53580:
URL: https://github.com/apache/spark/pull/53580
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### What changes were proposed in this pull request?
Make `pandas_on_spark_type` compatible with 2.4.0
### Why are the changes needed?
test `test_apply_batch_with_type` is failing with numpy 2.4.0
https://github.com/apache/spark/actions/runs/20441384812/job/58734968054
https://github.com/apache/spark/actions/runs/20446335578/job/58750460026
https://github.com/apache/spark/actions/runs/20445184025/job/58747024210
The root cause is a behaviour change in `pandas.api.types.pandas_dtype`, in
`test_apply_batch_with_type`
it raises `TypeError: Cannot interpret 'typing.List[int]' as a data type` in
2.3.x;
it raises `ValueError: Could not convert numpy.ndarray[tuple[typing.Any,
...], numpy.dtype[int]] to a NumPy dtype (via `.dtype` value <attribute 'dtype'
of 'numpy.ndarray' objects>)` in 2.4.0
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
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