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https://issues.apache.org/jira/browse/ARROW-370?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17657404#comment-17657404
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Rok Mihevc commented on ARROW-370:
----------------------------------
This issue has been migrated to [issue
#15933|https://github.com/apache/arrow/issues/15933] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> Python: Pandas conversion from `datetime.date` columns
> ------------------------------------------------------
>
> Key: ARROW-370
> URL: https://issues.apache.org/jira/browse/ARROW-370
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Uwe Korn
> Assignee: Uwe Korn
> Priority: Major
> Labels: newbie
> Fix For: 0.2.0
>
>
> It seems to be a common practice to store some columns as Python
> {{datetime.date}} to avoid issues with far future/past dates in Pandas. We
> can natively store this data in Arrow as well in Parquet but there is no
> conversion available yet. A simple way could be to provide a path
> pandas.Series -> numpy.ndarray(datetime64[D]) -> arrow.Array(DATE))
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