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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/05/02 09:33:06 UTC

[jira] [Closed] (SPARK-7247) Add Pandas' shift method to the Dataframe API

     [ https://issues.apache.org/jira/browse/SPARK-7247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin closed SPARK-7247.
------------------------------
    Resolution: Won't Fix

> Add Pandas' shift method to the Dataframe API
> ---------------------------------------------
>
>                 Key: SPARK-7247
>                 URL: https://issues.apache.org/jira/browse/SPARK-7247
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 1.3.1
>            Reporter: Olivier Girardot
>            Priority: Minor
>
> Spark's DataFrame provide several of the capabilities of Pandas and R Dataframe but in a distributed fashion which makes it almost easy to rewrite Pandas code to Spark.
> Almost, but there is a feature that's difficult to workaround right now, that's the shift method : http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.shift.html
> I'm working with some data scientists that are using this feature a lot in order to check for "rows equality" after a sort by some keys. Example (in pandas) :
> {code}
> df['delta'] = (df.START_DATE.shift(-1) - df.END_DATE).astype('timedelta64[D]')
> {code}
> I think this would be troublesome to add, I don't even know if this change would be do-able. But as a user, it would be useful for me.
> Olivier.



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