[GitHub] [arrow] jorisvandenbossche commented on issue #36412: [Python][CI] Fix deprecation warnings in the pandas nightly build

["jorisvandenbossche (via GitHub)" <gi...@apache.org>]

jorisvandenbossche commented on issue #36412:
URL: https://github.com/apache/arrow/issues/36412#issuecomment-1621668724

   Some that are still left:
   
   ```
   =============================== warnings summary ===============================
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_dataset.py::test_make_fragment
     /opt/conda/envs/arrow/lib/python3.10/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.
       return bound(*args, **kwds)
   
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py::TestConvertMisc::test_category
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py::TestConvertMisc::test_category
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py::TestConvertMisc::test_category
     /opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py:102: FutureWarning: Mismatched null-like values None and nan found. In a future version, pandas equality-testing functions (e.g. assert_frame_equal) will consider these not-matching and raise.
       tm.assert_frame_equal(result, expected, check_dtype=check_dtype,
   
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py::TestConvertMisc::test_category
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py::TestConvertMisc::test_category
   opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py::TestConvertMisc::test_category
     /opt/conda/envs/arrow/lib/python3.10/site-packages/pyarrow/tests/test_pandas.py:138: FutureWarning: Mismatched null-like values None and nan found. In a future version, pandas equality-testing functions (e.g. assert_frame_equal) will consider these not-matching and raise.
       tm.assert_series_equal(pd.Series(result), expected, check_names=False)
   ```
   
   


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