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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2017/09/06 12:19:00 UTC
[jira] [Resolved] (ARROW-1469) Segfault when serialize Pandas
series with mixed object type
[ https://issues.apache.org/jira/browse/ARROW-1469?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney resolved ARROW-1469.
---------------------------------
Resolution: Duplicate
Assignee: Phillip Cloud
Fix Version/s: 0.7.0
This is already fixed in ARROW-1411 (see https://github.com/apache/arrow/commit/b36aab5abfa7b398c9b307930a9f1ba4c9dc08c8). Will be in 0.7.0
> Segfault when serialize Pandas series with mixed object type
> ------------------------------------------------------------
>
> Key: ARROW-1469
> URL: https://issues.apache.org/jira/browse/ARROW-1469
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.6.0
> Reporter: GUAN Hao
> Assignee: Phillip Cloud
> Fix For: 0.7.0
>
>
> The following code causes segfault
> {code}
> import pandas as pd
> import pyarrow as pa
> s = pd.Series([1, '-'])
> pa.Array.from_pandas(s)
> {code}
> Arrow vector cannot hold mixed types, and raising an exception here instead of segfault is much better IMHO.
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