You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@arrow.apache.org by "Uwe L. Korn (JIRA)" <ji...@apache.org> on 2018/06/25 19:46:00 UTC
[jira] [Created] (ARROW-2741) [Python] pa.array from np.datetime[D] and type=pa.date64 produces invalid results
Uwe L. Korn created ARROW-2741:
----------------------------------
Summary: [Python] pa.array from np.datetime[D] and type=pa.date64 produces invalid results
Key: ARROW-2741
URL: https://issues.apache.org/jira/browse/ARROW-2741
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.9.0
Reporter: Uwe L. Korn
Fix For: 0.10.0
{code}
In [1]: import pyarrow as pa
In [2]: import numpy as np
In [3]: pa.array(np.array(['2015-01-01', '2015-01-01'], dtype='datetime64[D]'))
Out[3]:
<pyarrow.lib.Date32Array object at 0x11571bae8>
[
datetime.date(2015, 1, 1),
datetime.date(2015, 1, 1)
]
In [4]: pa.array(np.array(['2015-01-01', '2015-01-01'], dtype='datetime64[D]'), type=pa.date64())
Out[4]:
<pyarrow.lib.Date64Array object at 0x10965d138>
[
datetime.date(2015, 1, 1),
datetime.date(1970, 1, 1)
]
{code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)