[jira] [Created] (ARROW-11472) [Python][CI] Kartothek integrations build is failing with numpy 1.20

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

Joris Van den Bossche created ARROW-11472:
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             Summary: [Python][CI] Kartothek integrations build is failing with numpy 1.20
                 Key: ARROW-11472
                 URL: https://issues.apache.org/jira/browse/ARROW-11472
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
            Reporter: Joris Van den Bossche


See eg https://github.com/ursacomputing/crossbow/runs/1804464537, failure looks like:

{code}
 ____________ ERROR collecting tests/io/dask/dataframe/test_read.py _____________
tests/io/dask/dataframe/test_read.py:185: in <module>
    @pytest.mark.parametrize("col", get_dataframe_not_nested().columns)
kartothek/core/testing.py:65: in get_dataframe_not_nested
    "unicode": pd.Series(["Ö"], dtype=np.unicode),
/opt/conda/envs/arrow/lib/python3.7/site-packages/pandas/core/series.py:335: in __init__
    data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)
/opt/conda/envs/arrow/lib/python3.7/site-packages/pandas/core/construction.py:480: in sanitize_array
    subarr = _try_cast(data, dtype, copy, raise_cast_failure)
/opt/conda/envs/arrow/lib/python3.7/site-packages/pandas/core/construction.py:587: in _try_cast
    maybe_cast_to_integer_array(arr, dtype)
/opt/conda/envs/arrow/lib/python3.7/site-packages/pandas/core/dtypes/cast.py:1723: in maybe_cast_to_integer_array
    casted = np.array(arr, dtype=dtype, copy=copy)
E   ValueError: invalid literal for int() with base 10: 'Ö'
{code}

So it seems that {{ pd.Series(["Ö"], dtype=np.unicode)}} stopped working with numpy 1.20.0



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