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## What changes were proposed in this pull request? Running PySpark tests with Pandas 0.24.x causes a failure in `test_pandas_udf_grouped_map` test_supported_types: `ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()` This is because a column is an ArrayType and the method `sqlutils ReusedSQLTestCase.assertPandasEqual ` does not properly check this. This PR removes `assertPandasEqual` and replaces it with the built-in `pandas.util.testing.assert_frame_equal` which can properly handle columns of ArrayType and also prints out better diff between the DataFrames when an error occurs. Additionally, imports of pandas and pyarrow were moved to the top of related test files to avoid duplicating the same import many times. ## How was this patch tested? Existing tests Closes #24306 from BryanCutler/python-pandas-assert_frame_equal-SPARK-27387. Authored-by: Bryan Cutler <cutlerb@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org> |
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| .. | ||
| __init__.py | ||
| mllibutils.py | ||
| mlutils.py | ||
| sqlutils.py | ||
| streamingutils.py | ||
| utils.py | ||