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Joris Van den Bossche commented on ARROW-3176: ---------------------------------------------- Closing this, given my comment above (tldr: wrong value bug fixed in pandas, will get an error now) > [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: 1.0.0 > > > 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} -- This message was sent by Atlassian JIRA (v7.6.3#76005)