[
https://issues.apache.org/jira/browse/ARROW-1963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16361106#comment-16361106
]
Wes McKinney commented on ARROW-1963:
-------------------------------------
Yes, I think we would want the last example to behave like the others. This
could assume that all of the datetime64 scalar values' units are the same (and
raise exception if not)
> [Python] Create Array from sequence of numpy.datetime64
> -------------------------------------------------------
>
> Key: ARROW-1963
> URL: https://issues.apache.org/jira/browse/ARROW-1963
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 0.8.0
> Reporter: Uwe L. Korn
> Priority: Major
> Fix For: 0.9.0
>
>
> Currently we only support {{datetime.datetime}} and {{datetime.date}} but
> {{numpy.datetime64}} also occurs quite often in the numpy/pandas-related
> world.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
