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[SPARK-56816][PYTHON][TESTS] Patch pandas UDF input-type coercion golden in memory for Pandas 3 #55793

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[SPARK-56816][PYTHON][TESTS] Patch pandas UDF input-type coercion golden in memory for Pandas 3 #55793

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8 changes: 8 additions & 0 deletions python/pyspark/sql/tests/coercion/test_pandas_udf_input_type.py
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Original file line number Diff line number Diff line change
Expand Up @@ -251,6 +251,14 @@ def _compare_or_generate_golden(self, golden_file, test_name):
golden = None
if not generating:
golden = self.load_golden_csv(golden_csv)
# Pandas >= 3.0 reports the dedicated 'str' dtype for string columns,
# whereas earlier versions report 'object'. Patch the in-memory golden
# so the same file works under both versions.
if LooseVersion(pd.__version__) >= LooseVersion("3.0.0"):
str_rows = golden["Spark Type"] == "string"
golden.loc[str_rows, "Python Type"] = golden.loc[
str_rows, "Python Type"
].str.replace("'object'", "'str'")

results = []
for idx, (case_name, spark_type, data_func) in enumerate(self.test_cases):
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