[jira] [Updated] (ARROW-1998) [Python] Table.from_pandas crashes when data frame is empty

2018-02-12 Thread ASF GitHub Bot (JIRA) 

 [ 
https://issues.apache.org/jira/browse/ARROW-1998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated ARROW-1998:
--
Labels: pull-request-available  (was: )

> [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: Antoine Pitrou
>Priority: Major
>  Labels: pull-request-available
> 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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[jira] [Updated] (ARROW-1998) [Python] Table.from_pandas crashes when data frame is empty

2018-01-15 Thread Wes McKinney (JIRA) 

 [ 
https://issues.apache.org/jira/browse/ARROW-1998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wes McKinney updated ARROW-1998:

Fix Version/s: 0.9.0

> [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
>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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[jira] [Updated] (ARROW-1998) [Python] Table.from_pandas crashes when data frame is empty

2018-01-15 Thread Victor Jimenez (JIRA) 

 [ 
https://issues.apache.org/jira/browse/ARROW-1998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Victor Jimenez updated ARROW-1998:
--
Environment: 
Windows 10 Build 15063.850
Numpy: 1.14.0
Pandas: 0.22.0

  was:Windows 10 Build 15063.850


> [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
> Numpy: 1.14.0
> Pandas: 0.22.0
>Reporter: Victor Jimenez
>Priority: Major
>
> 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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[jira] [Updated] (ARROW-1998) [Python] Table.from_pandas crashes when data frame is empty

2018-01-15 Thread Victor Jimenez (JIRA) 

 [ 
https://issues.apache.org/jira/browse/ARROW-1998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Victor Jimenez updated ARROW-1998:
--
Environment: 
Windows 10 Build 15063.850
Python: 3.6.3
Numpy: 1.14.0
Pandas: 0.22.0

  was:
Windows 10 Build 15063.850
Numpy: 1.14.0
Pandas: 0.22.0


> [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
>Priority: Major
>
> 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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