Joris Van den Bossche created ARROW-6325:
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Summary: [Python] wrong conversion of DataFrame with boolean values
Key: ARROW-6325
URL: https://issues.apache.org/jira/browse/ARROW-6325
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.14.1
Reporter: Joris Van den Bossche
Fix For: 0.15.0
>From https://github.com/pandas-dev/pandas/issues/28090
{code}
In [19]: df = pd.DataFrame(np.ones((5, 2), dtype=bool), columns=['a', 'b'])
In [20]: df
Out[20]:
a b
0 True True
1 True True
2 True True
3 True True
4 True True
In [21]: table = pa.table(df)
In [23]: table.column(0)
Out[23]:
<pyarrow.lib.ChunkedArray object at 0x7fd08a96e090>
[
[
true,
false,
false,
false,
false
]
]
{code}
The resulting table has False values while the original DataFrame had only true
values.
It seems this has to do with the fact that it are multiple columns, as with a
single column it converts correctly.
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