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

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.10.0, 0.11.0
• Fix Version/s: 0.12.0
• Component/s: Python
• Labels: pull-request-available
• 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
• External issue URL: https://github.com/apache/arrow/issues/19898
• Assignee: Francois Saint-Jacques
• Reporter: Andreas
• Created: 22/Oct/18 13:52
• Updated: 11/Jan/23 07:28
• Resolved: 06/Dec/18 15:07

Description

import pyarrow as pa


table = pa.Table.from_arrays(arrays=[pa.array([], type=pa.int32())], names=['col'])
table.to_pandas(categories=['col'])

This produces a segmentation fault for certain types (e.g, int{32,64}) while it works for others (e.g. string, binary).

Issue Links

• links to: GitHub Pull Request #3116