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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