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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/04/29 21:06:06 UTC

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

Xiangrui Meng created SPARK-7243:
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             Summary: 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


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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