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[jira] [Created] (ARROW-2646) [Python] Pandas roundtrip for date objects


Florian Jetter created ARROW-2646:
-------------------------------------

             Summary: [Python] Pandas roundtrip for date objects
                 Key: ARROW-2646
                 URL: https://issues.apache.org/jira/browse/ARROW-2646
             Project: Apache Arrow
          Issue Type: Bug
            Reporter: Florian Jetter


Arrow currently casts date objects to nanosecond precision datetime objects. I'd like to have a way to preserve the type during a roundtrip
{code}
>>> import pandas as pd
>>> import pyarrow as pa
>>> import datetime
>>> pa.date32().to_pandas_dtype()
dtype('<M8[ns]')
>>> df = pd.DataFrame({'date': [datetime.date(2018, 1, 1)]})
>>> df.dtypes
date object
dtype: object
>>> df_rountrip = pa.Table.from_pandas(df).to_pandas()
>>> df_rountrip.dtypes
date    datetime64[ns]
dtype: object
{code}
I'd expect something like this to work:
{code}
>>> import pandas.testing as pdt
>>> df_rountrip = pa.Table.from_pandas(df).to_pandas(date_as_object=True)
>>> pdt.assert_frame_equal(df_rountrip, df)
{code}



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