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Posted to issues@arrow.apache.org by "Joris Van den Bossche (JIRA)" <ji...@apache.org> on 2019/04/24 08:29:00 UTC
[jira] [Updated] (ARROW-3176) [Python] Overflow in Date32 column
conversion to pandas
[ https://issues.apache.org/jira/browse/ARROW-3176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joris Van den Bossche updated ARROW-3176:
-----------------------------------------
Description:
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}
was:
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}
> [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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