[ 
https://issues.apache.org/jira/browse/BEAM-12132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Beam JIRA Bot updated BEAM-12132:
---------------------------------
    Labels: dataframe-api  (was: dataframe-api stale-P2)

> DataFrame API: Consider allowing partitioning by column in addition to Index
> ----------------------------------------------------------------------------
>
>                 Key: BEAM-12132
>                 URL: https://issues.apache.org/jira/browse/BEAM-12132
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Brian Hulette
>            Priority: P3
>              Labels: dataframe-api
>
> For some DataFrame use-cases it may be beneficial to partition a dataset 
> across the columns as well as across the index.
> One example might be computing a correlation in a DataFrame with a very large 
> number of columns. It would be beneficial to be able to perform pairwise 
> column correlations on separate workers.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to