[jira] [Resolved] (ARROW-3428) [Python] from_pandas gives incorrect results when converting floating point to bool

["Wes McKinney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-3428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney resolved ARROW-3428.
---------------------------------
    Resolution: Fixed

Issue resolved by pull request 2698
[https://github.com/apache/arrow/pull/2698]

> [Python] from_pandas gives incorrect results when converting floating point to bool
> -----------------------------------------------------------------------------------
>
>                 Key: ARROW-3428
>                 URL: https://issues.apache.org/jira/browse/ARROW-3428
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Bryan Cutler
>            Assignee: Bryan Cutler
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.12.0
>
>          Time Spent: 5h 20m
>  Remaining Estimate: 0h
>
> When converting Pandas data that contains floating point values to boolean, incorrect results are given
> {noformat}
> In [2]: import pyarrow as pa
>    ...: import pandas as pd
>    ...: a = [0.0, 1.0, 2.0, None, float('NaN')]
>    ...: 
> In [3]: s = pd.Series(a)
> In [4]: pa.Array.from_pandas(s, type=pa.bool_())
> Out[4]: 
> <pyarrow.lib.BooleanArray object at 0x7f1bfd099e68>
> [
>   False,
>   False,
>   False,
>   False,
>   False
> ]
> {noformat}
> Expected output should be True when value != 0
> This originated from SPARK-25461



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