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https://issues.apache.org/jira/browse/ARROW-3176?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17660199#comment-17660199
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Rok Mihevc commented on ARROW-3176:
-----------------------------------
This issue has been migrated to [issue
#19522|https://github.com/apache/arrow/issues/19522] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [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
> Priority: Minor
> Fix For: 0.15.0
>
>
> 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(date_as_object=False)
> Out[6]: array(['2262-04-12'], dtype='datetime64[D]')
> In [7]: pa.column('name', arr).to_pandas(date_as_object=False)
> Out[7]:
> 0 1677-09-21 00:25:26.290448384
> Name: name, dtype: datetime64[ns]
> {code}
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