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https://issues.apache.org/jira/browse/ARROW-1992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17659021#comment-17659021
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Rok Mihevc commented on ARROW-1992:
-----------------------------------
This issue has been migrated to [issue
#17975|https://github.com/apache/arrow/issues/17975] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [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
> Components: Python
> 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
> Labels: pull-request-available
> 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}
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