[ https://issues.apache.org/jira/browse/ARROW-3586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Antoine Pitrou updated ARROW-3586: ---------------------------------- Component/s: Python > [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 > Components: Python > 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 > Assignee: Francois Saint-Jacques > Priority: Major > Labels: pull-request-available > Fix For: 0.12.0 > > Time Spent: 40m > 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). -- This message was sent by Atlassian JIRA (v7.6.3#76005)