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https://issues.apache.org/jira/browse/ARROW-11445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe Korn resolved ARROW-11445.
------------------------------
Fix Version/s: 3.0.0
Assignee: Uwe Korn
Resolution: Duplicate
This is known issue with wheels older versions, see also the linked issue and
https://github.com/numpy/numpy/issues/17913. Please update your {{pyarrow}}
version if you want to use the latest NumPy release.
> Type conversion failure on numpy 0.1.20
> ---------------------------------------
>
> Key: ARROW-11445
> URL: https://issues.apache.org/jira/browse/ARROW-11445
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 2.0.0
> Environment: Python 3.7.4
> Mac OS
> Reporter: Carlo Mazzaferro
> Assignee: Uwe Korn
> Priority: Major
> Fix For: 3.0.0
>
>
> While I have not dug deep enough in the Arrow codebase, it seems to me that
> this is caused by the new numpy release:
> [https://github.com/numpy/numpy/releases]
> The issue below in fact is not observed when using numpy 0.19.*
>
>
>
> {code:java}
> >>> pandas.__version__, pa.__version__, numpy.__version__
> ('1.2.1', '2.0.0', '1.20.0')
> >>> df = pandas.DataFrame({'a': numpy.random.randn(10), 'b':
> >>> numpy.random.randn(7).tolist() + [None, pandas.NA, numpy.nan], 'c':
> >>> list(range(9)) + [numpy.nan]})
> >>> pa.Table.from_pandas(df)
> Traceback (most recent call last):
> File "<input>", line 1, in <module>
> pa.Table.from_pandas(df)
> File "pyarrow/table.pxi", line 1394, in pyarrow.lib.Table.from_pandas
> File
> "/Users/carlomazzafero/.virtualenvs/arr/lib/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 588, in dataframe_to_arrays
> for c, f in zip(columns_to_convert, convert_fields)]
> File
> "/Users/carlomazzafero/.virtualenvs/arr/lib/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 588, in <listcomp>
> for c, f in zip(columns_to_convert, convert_fields)]
> File
> "/Users/carlomazzafero/.virtualenvs/arr/lib/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 574, in convert_column
> raise e
> File
> "/Users/carlomazzafero/.virtualenvs/arr/lib/python3.7/site-packages/pyarrow/pandas_compat.py",
> line 568, in convert_column
> result = pa.array(col, type=type_, from_pandas=True, safe=safe)
> File "pyarrow/array.pxi", line 292, in pyarrow.lib.array
> File "pyarrow/array.pxi", line 79, in pyarrow.lib._ndarray_to_array
> File "pyarrow/array.pxi", line 67, in pyarrow.lib._ndarray_to_type
> File "pyarrow/error.pxi", line 107, in pyarrow.lib.check_status
> pyarrow.lib.ArrowTypeError: ('Did not pass numpy.dtype object', 'Conversion
> failed for column a with type float64')
> {code}
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