[
https://issues.apache.org/jira/browse/ARROW-11445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Carlo Mazzaferro updated ARROW-11445:
-------------------------------------
Description:
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.*
{quote}{{>>> 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')}}
{quote}
was:
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.*
{{ }}{{>>> pandas._version, pa.version, numpy.version_}}
{{ ('1.2.1', '2.0.0', '1.20.0')}}
{{ >>> df = pandas.DataFrame(\{'a': [1,2,3]})}}
{{ >>> pandas._version, pa.version, numpy.version_}}
{{ ('1.2.1', '2.0.0', '1.20.0')}}
{{ >>> df = pandas.DataFrame(\{'a': [1,2,3]})}}
{{>>> 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 int64')}}{{ }}
> 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
> Priority: Major
>
> 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.*
>
>
>
> {quote}{{>>> 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')}}
> {quote}
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