Andreas created ARROW-3586: ------------------------------ Summary: 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: 0.11.0, 0.10.0 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
{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)