[jira] [Commented] (ARROW-2510) [Python] Segmentation fault when converting empty column as categorical
[ https://issues.apache.org/jira/browse/ARROW-2510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16460661#comment-16460661 ] Uwe L. Korn commented on ARROW-2510: Fixed in master, segfaulting in 0.9, closing > [Python] Segmentation fault when converting empty column as categorical > --- > > Key: ARROW-2510 > URL: https://issues.apache.org/jira/browse/ARROW-2510 > Project: Apache Arrow > Issue Type: Bug > Components: C++, Python >Reporter: Florian Jetter >Assignee: Uwe L. Korn >Priority: Minor > Fix For: 0.10.0 > > > When converting an empty column to categorical in pandas I get a segmentation > fault -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Commented] (ARROW-2510) [Python] Segmentation fault when converting empty column as categorical
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https://issues.apache.org/jira/browse/ARROW-2510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16460079#comment-16460079
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Uwe L. Korn commented on ARROW-2510:
[~fjetter] I cannot reproduce the behaviour I expect that you are describing.
The following code succeeds on master:
{code}
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
df = pd.DataFrame({'a': ['str']})
df['a'] = df['a'].astype('category')
pq.write_metadata(pa.Table.from_pandas(df).schema, '_common_metadata')
t = pq.read_table('_common_metadata')
t.to_pandas(categories=['a'])
{code}
> [Python] Segmentation fault when converting empty column as categorical
> ---
>
> Key: ARROW-2510
> URL: https://issues.apache.org/jira/browse/ARROW-2510
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
>Reporter: Florian Jetter
>Assignee: Uwe L. Korn
>Priority: Minor
> Fix For: 0.10.0
>
>
> When converting an empty column to categorical in pandas I get a segmentation
> fault
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