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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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