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[jira] [Created] (ARROW-3176) [Python] Overflow in Date32 column conversion to pandas

Florian Jetter created ARROW-3176:

             Summary: [Python] Overflow in Date32 column conversion to pandas
                 Key: ARROW-3176
                 URL: https://issues.apache.org/jira/browse/ARROW-3176
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 0.10.0
            Reporter: Florian Jetter

When converting an arrow column holding a {{Date32Array}} to {{pandas}} there seems to be an overflow at the date {{2262-04-12}} such that the type and value are wrong. The issue only occurs for columns, not for arrays.

Running on debian 9.5 w/ python2 gives
In [1]: import numpy as np

In [2]: import datetime

In [3]: import pyarrow as pa

In [4]: pa.__version__
Out[4]: '0.10.0'

In [5]: arr = pa.array(np.array([datetime.date(2262, 4, 12)], dtype='datetime64[D]'))

In [6]: arr.to_pandas()
Out[6]: array(['2262-04-12'], dtype='datetime64[D]')

In [7]: pa.column('name', arr).to_pandas()
0 1677-09-21 00:25:26.290448384
Name: name, dtype: datetime64[ns]

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