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Posted to dev@arrow.apache.org by "Florian Jetter (JIRA)" <ji...@apache.org> on 2018/09/05 14:20:00 UTC
[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
{code}
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()
Out[7]:
0 1677-09-21 00:25:26.290448384
Name: name, dtype: datetime64[ns]
{code}
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