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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/05/05 02:04:55 UTC

[jira] [Resolved] (SPARK-7243) Contingency table for DataFrames

     [ https://issues.apache.org/jira/browse/SPARK-7243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-7243.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

> Contingency table for DataFrames
> --------------------------------
>
>                 Key: SPARK-7243
>                 URL: https://issues.apache.org/jira/browse/SPARK-7243
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Xiangrui Meng
>            Assignee: Burak Yavuz
>             Fix For: 1.4.0
>
>
> Create contingency table for two columns in a DataFrame. This is `table` in R and `crosstab` in pandas.
> ~~~
> df.stat.crosstab(col1, col2): DataFrame
> ~~~
> It returns a local DataFrame with "$col1_$col2" and values from col2 as the column names. Values from col1 become the values in the first column.
> If users want to ignore NA, they should filter NAs first.



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