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Posted to issues@spark.apache.org by "Olivier Girardot (JIRA)" <ji...@apache.org> on 2015/04/29 21:25:06 UTC
[jira] [Created] (SPARK-7247) Add Pandas' shift method to the
Dataframe API
Olivier Girardot created SPARK-7247:
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Summary: Add Pandas' shift method to the Dataframe API
Key: SPARK-7247
URL: https://issues.apache.org/jira/browse/SPARK-7247
Project: Spark
Issue Type: Wish
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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