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https://issues.apache.org/jira/browse/ARROW-3176?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16824911#comment-16824911
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Joris Van den Bossche edited comment on ARROW-3176 at 4/24/19 2:02 PM:
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Note that the default type changed: it now gives back datetime.date objects,
instead of datetime64[D] (https://issues.apache.org/jira/browse/ARROW-3910). So
by default you no longer have this problem. But, setting
{{date_as_object=False}} (to have back the old behaviour), you still have the
same overflow issue.
Updated the original bug report to add this keyword, to keep it a reproducible
example.
was (Author: jorisvandenbossche):
Note that the default type changed: it now gives back datetime.date objects,
instead of datetime64[D]. Do by default you no longer have this problem. But,
setting {{date_as_object=False}} (to have back the old behaviour), you still
have the same overflow issue.
Updated the original bug report to add this keyword, to keep it a reproducible
example.
> [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: 0.14.0
>
>
> 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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