[jira] [Assigned] (ARROW-1992) [Python] to_pandas crashes when using strings_to_categoricals on empty string cols on 0.8.0

["Licht Takeuchi (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-1992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Licht Takeuchi reassigned ARROW-1992:
-------------------------------------

    Assignee: Licht Takeuchi

> [Python] to_pandas crashes when using strings_to_categoricals on empty string cols on 0.8.0
> -------------------------------------------------------------------------------------------
>
>                 Key: ARROW-1992
>                 URL: https://issues.apache.org/jira/browse/ARROW-1992
>             Project: Apache Arrow
>          Issue Type: Bug
>    Affects Versions: 0.8.0
>         Environment: OS: Windows
> Python: PY36 x64
> Pandas: 0.22.0
> pyarrow: 0.8.0
>            Reporter: Victor Uriarte
>            Assignee: Licht Takeuchi
>            Priority: Major
>             Fix For: 0.9.0
>
>
> When trying to read back a table, Python crashes when pyarrow is used to read/convert a table that has a column of 0 length `strings and strings_to_categorical=True`. Example code below.
> This same test ran ok with pyarrow 0.7.1
> {code:none}
> import pandas as pd
> import pyarrow as pa
> df = pd.DataFrame({
>     'Foo': ['A', 'A', 'B', 'B', 'C'],
>     'Bar': ['A1', 'A2', 'B2', 'D3', ''],
>     'Baz': ['', '', '', '', ''],
> })
> table = pa.Table.from_pandas(df)
> df = table.to_pandas(strings_to_categorical=False)  # Works
> print('Categoricals=False', len(df))
> df = table.to_pandas(strings_to_categorical=True)  # Crashes
> print('Categoricals=True', len(df))
> {code}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)