[jira] [Created] (ARROW-2391) Segmentation fault from PyArrow when mapping Pandas datetime column to pyarrow.date64

["Dave Challis (JIRA)" <ji...@apache.org>]

Dave Challis created ARROW-2391:
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             Summary: Segmentation fault from PyArrow when mapping Pandas datetime column to pyarrow.date64
                 Key: ARROW-2391
                 URL: https://issues.apache.org/jira/browse/ARROW-2391
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 0.9.0
         Environment: Mac OS High Sierra
Python 3.6
            Reporter: Dave Challis


When trying to call `pyarrow.Table.from_pandas` with a `pandas.DataFrame` and a `pyarrow.Schema` provided, the function call results in a segmentation fault if Pandas `datetime64[ns]` column tries to be converted to a `pyarrow.date64` type.

 

A minimal example which shows this is:

{{import pandas as pd}}
{{import pyarrow as pa}}

{{df = pd.DataFrame(\{'created': ['2018-05-10T10:24:01']})}}
{{df['created'] = pd.to_datetime(df['created'])}}
{{schema = pa.schema([pa.field('created', pa.date64())])}}
{{pa.Table.from_pandas(df, schema=schema)}}

 

Executing the above causes the python interpreter to exit with "Segmentation fault: 11".

 

Attempting to convert into various other datatypes (by specifying different schemas) either succeeds, or raises an exception if the conversion is invalid.



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