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https://issues.apache.org/jira/browse/ARROW-2741?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17659767#comment-17659767
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Rok Mihevc commented on ARROW-2741:
-----------------------------------
This issue has been migrated to [issue
#15736|https://github.com/apache/arrow/issues/15736] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [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 Korn
> Assignee: Uwe Korn
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.10.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> {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}
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