Joris Van den Bossche created ARROW-6325: --------------------------------------------
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. -- This message was sent by Atlassian Jira (v8.3.2#803003)