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https://issues.apache.org/jira/browse/ARROW-11472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-11472:
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Fix Version/s: (was: 4.0.0)
> [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
> Assignee: Joris Van den Bossche
> Priority: Major
> Labels: pull-request-available
> Time Spent: 2h
> Remaining Estimate: 0h
>
> 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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