ASF GitHub Bot commented on ARROW-2391:

pitrou commented on a change in pull request #1859: ARROW-2391: [C++/Python] 
Segmentation fault from PyArrow when mapping Pandas datetime column to 
URL: https://github.com/apache/arrow/pull/1859#discussion_r180075435

 File path: python/pyarrow/tests/test_convert_pandas.py
 @@ -807,6 +807,31 @@ def test_datetime64_to_date32(self):
         assert arr2.equals(arr.cast('date32'))
+    def test_pandas_datetime_to_date64(self):
 Review comment:
   Could you expand the test to also check the case where a non-None mask is 

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> [Python] 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
>            Priority: Major
>              Labels: pull-request-available
> 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:
> {code:python}
> 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)
> {code}
> 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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