[jira] [Updated] (ARROW-370) Python: Pandas conversion from `datetime.date` columns

["Wes McKinney (JIRA)" <ji...@apache.org>]

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

Wes McKinney updated ARROW-370:
-------------------------------
    Fix Version/s: 0.2.0

> 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
>             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))



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)