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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