[SPARK-58115][PYTHON][TEST] Handle Pandas 3 in PyArrow Array.to_pandas golden test#57237
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[SPARK-58115][PYTHON][TEST] Handle Pandas 3 in PyArrow Array.to_pandas golden test#57237zhengruifeng wants to merge 3 commits into
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What changes were proposed in this pull request?
Keep the existing PyArrow Array.to_pandas() golden files unchanged and patch the expected string conversion results in memory when running with pandas 3. PyArrow 24-specific overrides cover empty string arrays, whose conversion changed separately from non-empty arrays.
Why are the changes needed?
Pandas 3 uses its dedicated string dtype when converting non-empty Arrow string arrays, while PyArrow 24 extends that behavior to empty string arrays. The shared golden expects Series[object], causing the pandas 3 CI job to fail with six mismatches for string and large_string arrays.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
conda run -n spark-dev-313 env PYTHONPATH=python python -m unittest pyspark.tests.upstream.pyarrow.test_pyarrow_arrow_to_pandas_default
conda run -n spark-dev-313-p3 env PYTHONPATH=python python -m unittest pyspark.tests.upstream.pyarrow.test_pyarrow_arrow_to_pandas_default
conda run -n spark-dev-313-p3 env PYTHONPATH=/tmp/spark-pandas3-ci:python python -m unittest pyspark.tests.upstream.pyarrow.test_pyarrow_arrow_to_pandas_default
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