[SPARK-54944][PYTHON][TEST] Add tests for pa.Array.to_pandas with default arguments#55031
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zhengruifeng wants to merge 11 commits intoapache:masterfrom
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[SPARK-54944][PYTHON][TEST] Add tests for pa.Array.to_pandas with default arguments#55031zhengruifeng wants to merge 11 commits intoapache:masterfrom
zhengruifeng wants to merge 11 commits intoapache:masterfrom
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… with default args Add test_pyarrow_arrow_to_pandas_default.py to monitor PyArrow's to_pandas() behavior across all major Arrow types with golden file comparison, ensuring PySpark's assumptions remain valid across versions. Co-authored-by: Isaac
Co-authored-by: Isaac
Add list<list>, list<struct>, list<map>, struct<struct>, struct<list>, struct<map>, map with list/struct/map values to cover deep nesting. Co-authored-by: Isaac
Co-authored-by: Isaac
Move compare_or_generate_golden_matrix back to test files instead of the shared mixin. Add repr_pandas_series_value to GoldenFileTestMixin so repr_value handles pd.Series, removing the need for a custom _repr_result. Co-authored-by: Isaac
Co-authored-by: Isaac
Co-authored-by: Isaac
Co-authored-by: Isaac
Co-authored-by: Isaac
Co-authored-by: Isaac
Co-authored-by: Isaac
HyukjinKwon
approved these changes
Mar 26, 2026
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What changes were proposed in this pull request?
Add
test_pyarrow_arrow_to_pandas_default.pyto monitor PyArrow'spa.Array.to_pandas()behavior with default arguments across all major Arrow types, using golden file comparison.Why are the changes needed?
PySpark relies on specific
to_pandas()conversion behaviors. This test captures the current behavior in a golden file so that any changes in future PyArrow upgrades are detected automatically.Does this PR introduce any user-facing change?
No. Test-only change.
How was this patch tested?
PyArrowArrayToPandasDefaultTestscovering 122 cases:golden_pyarrow_arrow_to_pandas_default.csvrecords expected resultsrepr_pandas_series_valuetoGoldenFileTestMixinfor properpd.Seriesformatting inrepr_valuemodules.pyWas this patch authored or co-authored using generative AI tooling?
Yes.