[jira] [Updated] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe
[
https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated ARROW-5952:
--
Labels: pull-request-available (was: )
> [Python] Segfault when reading empty table with category as pandas dataframe
>
>
> Key: ARROW-5952
> URL: https://issues.apache.org/jira/browse/ARROW-5952
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
>Affects Versions: 0.14.0, 0.14.1
> Environment: Linux 3.10.0-327.36.3.el7.x86_64
> Python 3.6.8
> Pandas 0.24.2
> Pyarrow 0.14.0
>Reporter: Daniel Nugent
>Priority: Major
> Labels: pull-request-available
> Fix For: 0.15.0
>
>
> I have two short sample programs which demonstrate the issue:
> {code:java}
> import pyarrow as pa
> import pandas as pd
> empty = pd.DataFrame({'foo':[]},dtype='category')
> table = pa.Table.from_pandas(empty)
> outfile = pa.output_stream('bar')
> writer = pa.RecordBatchFileWriter(outfile,table.schema)
> writer.write(table)
> writer.close()
> {code}
> {code:java}
> import pyarrow as pa
> pa.ipc.open_file('bar').read_pandas()
> Segmentation fault
> {code}
> My apologies if this was already reported elsewhere, I searched but could not
> find an issue which seemed to refer to the same behavior.
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[jira] [Updated] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe
[
https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney updated ARROW-5952:
Fix Version/s: (was: 1.0.0)
0.15.0
> [Python] Segfault when reading empty table with category as pandas dataframe
>
>
> Key: ARROW-5952
> URL: https://issues.apache.org/jira/browse/ARROW-5952
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
>Affects Versions: 0.14.0, 0.14.1
> Environment: Linux 3.10.0-327.36.3.el7.x86_64
> Python 3.6.8
> Pandas 0.24.2
> Pyarrow 0.14.0
>Reporter: Daniel Nugent
>Priority: Major
> Fix For: 0.15.0
>
>
> I have two short sample programs which demonstrate the issue:
> {code:java}
> import pyarrow as pa
> import pandas as pd
> empty = pd.DataFrame({'foo':[]},dtype='category')
> table = pa.Table.from_pandas(empty)
> outfile = pa.output_stream('bar')
> writer = pa.RecordBatchFileWriter(outfile,table.schema)
> writer.write(table)
> writer.close()
> {code}
> {code:java}
> import pyarrow as pa
> pa.ipc.open_file('bar').read_pandas()
> Segmentation fault
> {code}
> My apologies if this was already reported elsewhere, I searched but could not
> find an issue which seemed to refer to the same behavior.
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[jira] [Updated] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe
[
https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney updated ARROW-5952:
Fix Version/s: 1.0.0
> [Python] Segfault when reading empty table with category as pandas dataframe
>
>
> Key: ARROW-5952
> URL: https://issues.apache.org/jira/browse/ARROW-5952
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
>Affects Versions: 0.14.0, 0.14.1
> Environment: Linux 3.10.0-327.36.3.el7.x86_64
> Python 3.6.8
> Pandas 0.24.2
> Pyarrow 0.14.0
>Reporter: Daniel Nugent
>Priority: Major
> Fix For: 1.0.0
>
>
> I have two short sample programs which demonstrate the issue:
> {code:java}
> import pyarrow as pa
> import pandas as pd
> empty = pd.DataFrame({'foo':[]},dtype='category')
> table = pa.Table.from_pandas(empty)
> outfile = pa.output_stream('bar')
> writer = pa.RecordBatchFileWriter(outfile,table.schema)
> writer.write(table)
> writer.close()
> {code}
> {code:java}
> import pyarrow as pa
> pa.ipc.open_file('bar').read_pandas()
> Segmentation fault
> {code}
> My apologies if this was already reported elsewhere, I searched but could not
> find an issue which seemed to refer to the same behavior.
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[jira] [Updated] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe
[
https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Daniel Nugent updated ARROW-5952:
-
Affects Version/s: 0.14.1
> [Python] Segfault when reading empty table with category as pandas dataframe
>
>
> Key: ARROW-5952
> URL: https://issues.apache.org/jira/browse/ARROW-5952
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
>Affects Versions: 0.14.0, 0.14.1
> Environment: Linux 3.10.0-327.36.3.el7.x86_64
> Python 3.6.8
> Pandas 0.24.2
> Pyarrow 0.14.0
>Reporter: Daniel Nugent
>Priority: Major
>
> I have two short sample programs which demonstrate the issue:
> {code:java}
> import pyarrow as pa
> import pandas as pd
> empty = pd.DataFrame({'foo':[]},dtype='category')
> table = pa.Table.from_pandas(empty)
> outfile = pa.output_stream('bar')
> writer = pa.RecordBatchFileWriter(outfile,table.schema)
> writer.write(table)
> writer.close()
> {code}
> {code:java}
> import pyarrow as pa
> pa.ipc.open_file('bar').read_pandas()
> Segmentation fault
> {code}
> My apologies if this was already reported elsewhere, I searched but could not
> find an issue which seemed to refer to the same behavior.
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