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https://issues.apache.org/jira/browse/ARROW-2406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Uwe L. Korn updated ARROW-2406:
-------------------------------
Fix Version/s: 0.10.0
> [Python] Segfault when creating PyArrow table from Pandas for empty string
> column when schema provided
> ------------------------------------------------------------------------------------------------------
>
> Key: ARROW-2406
> URL: https://issues.apache.org/jira/browse/ARROW-2406
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.9.0
> Environment: Mac OS High Sierra
> Python 3.6.3
> Reporter: Dave Challis
> Priority: Major
> Fix For: 0.10.0
>
>
> Minimal example to recreate:
> {code}
> import pandas as pd
> import pyarrow as pa
> df = pd.DataFrame({'a': []})
> df['a'] = df['a'].astype(str)
> schema = pa.schema([pa.field('a', pa.string())])
> pa.Table.from_pandas(df, schema=schema){code}
>
> This causes the python interpreter to exit with "Segmentation fault: 11".
> The following examples all work without any issue:
> {code}
> # column 'a' is no longer empty
> df = pd.DataFrame({'a': ['foo']})
> df['a'] = df['a'].astype(str)
> schema = pa.schema([pa.field('a', pa.string())])
> pa.Table.from_pandas(df, schema=schema)
> {code}
> {code}
> # column 'a' is empty, but no schema is specified
> df = pd.DataFrame({'a': []})
> df['a'] = df['a'].astype(str)
> pa.Table.from_pandas(df)
> {code}
> {code}
> # column 'a' is empty, but no type 'str' specified in Pandas
> df = pd.DataFrame({'a': []})
> schema = pa.schema([pa.field('a', pa.string())])
> pa.Table.from_pandas(df, schema=schema)
> {code}
>
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