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From "Uwe L. Korn (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (ARROW-370) Python: Pandas conversion from `datetime.date` columns
Date Sun, 05 Feb 2017 18:17:41 GMT

     [ https://issues.apache.org/jira/browse/ARROW-370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Uwe L. Korn reassigned ARROW-370:
---------------------------------

    Assignee: Uwe L. Korn

> 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 L. Korn
>            Assignee: Uwe L. Korn
>              Labels: newbie
>
> 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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