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https://issues.apache.org/jira/browse/ARROW-1998?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16360983#comment-16360983
 ] 

Antoine Pitrou commented on ARROW-1998:
---------------------------------------

Quick way to reproduce:
{code:python}
>>> pa.array(np.array([], dtype=np.object), from_pandas=True, type=pa.string())
/home/antoine/arrow/cpp/src/arrow/python/numpy_to_arrow.cc:1574 Check failed: 
(output_arrays.size()) > (0) 
{code}

> [Python] Table.from_pandas crashes when data frame is empty
> -----------------------------------------------------------
>
>                 Key: ARROW-1998
>                 URL: https://issues.apache.org/jira/browse/ARROW-1998
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.8.0
>         Environment: Windows 10 Build 15063.850
> Python: 3.6.3
> Numpy: 1.14.0
> Pandas: 0.22.0
>            Reporter: Victor Jimenez
>            Assignee: Phillip Cloud
>            Priority: Major
>             Fix For: 0.9.0
>
>
> Loading an empty CSV file, and then attempting to create a PyArrow Table from 
> it makes the application crash. The following code should be able to 
> reproduce the issue:
> {code}
> import numpy as np
> import pandas as pd
> import pyarrow as pa
> FIELDS = ['id', 'name']
> NUMPY_TYPES = {
>     'id': np.int64,
>     'name': np.unicode
> }
> PYARROW_SCHEMA = pa.schema([
>     pa.field('id', pa.int64()),
>     pa.field('name', pa.string())
> ])
> file = open('input.csv', 'w')
> file.close()
> df = pd.read_csv(
>     'input.csv',
>     header=None,
>     names=FIELDS,
>     dtype=NUMPY_TYPES,
>     engine='c',
> )
> pa.Table.from_pandas(df, schema=PYARROW_SCHEMA)
> {code}



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