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Posted to issues@arrow.apache.org by "Wes McKinney (Jira)" <ji...@apache.org> on 2019/08/23 23:27:00 UTC
[jira] [Resolved] (ARROW-6325) [Python] wrong conversion of
DataFrame with boolean values
[ https://issues.apache.org/jira/browse/ARROW-6325?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney resolved ARROW-6325.
---------------------------------
Resolution: Fixed
Issue resolved by pull request 5176
[https://github.com/apache/arrow/pull/5176]
> [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
> Assignee: Joris Van den Bossche
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.15.0
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> From https://github.com/pandas-dev/pandas/issues/28090
> {code}
> In [19]: df = pd.DataFrame(np.ones((3, 2), dtype=bool), columns=['a', 'b'])
> In [20]: df
> Out[20]:
> a b
> 0 True True
> 1 True True
> 2 True True
> In [21]: table = pa.table(df)
> In [23]: table.column(0)
> Out[23]:
> <pyarrow.lib.ChunkedArray object at 0x7fd08a96e090>
> [
> [
> true,
> 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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