[jira] [Resolved] (ARROW-3586) [Python] Segmentation fault when converting empty table to pandas with categoricals

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

     [ https://issues.apache.org/jira/browse/ARROW-3586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney resolved ARROW-3586.
---------------------------------
    Resolution: Fixed

Issue resolved by pull request 3116
[https://github.com/apache/arrow/pull/3116]

> [Python] Segmentation fault when converting empty table to pandas with categoricals
> -----------------------------------------------------------------------------------
>
>                 Key: ARROW-3586
>                 URL: https://issues.apache.org/jira/browse/ARROW-3586
>             Project: Apache Arrow
>          Issue Type: Bug
>    Affects Versions: 0.10.0, 0.11.0
>         Environment: - Ubuntu 16.04, Python 2.7.12, pyarrow 0.11.0, pandas 0.23.4
> - Debian9, Python 2.7.13, pyarrow 0.10.0, pandas 0.23.4
>            Reporter: Andreas
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.12.0
>
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> {code:java}
> import pyarrow as pa
> table = pa.Table.from_arrays(arrays=[pa.array([], type=pa.int32())], names=['col'])
> table.to_pandas(categories=['col']){code}
> This produces a segmentation fault for certain types (e.g, int\{32,64}) while it works for others (e.g. string, binary).



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