GitHub user HyukjinKwon opened a pull request:

    https://github.com/apache/spark/pull/22329

    [SPARK-25328][PYTHON] Add an example for having two columns as the grouping 
key in group aggregate pandas UDF

    ## What changes were proposed in this pull request?
    
    This PR proposes to add another example for multiple grouping key in group 
aggregate pandas UDF since this feature could make users still confused.
    
    ## How was this patch tested?
    
    Manually tested and documentation built:
    
    ![screen shot 2018-09-04 at 6 00 25 
pm](https://user-images.githubusercontent.com/6477701/45025076-1d0b3e00-b06d-11e8-8708-e523e00204c4.png)


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/HyukjinKwon/spark SPARK-25328

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/22329.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #22329
    
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commit 36a7ccc37374a42a2c9cf67f3f1748df638eb937
Author: hyukjinkwon <gurwls223@...>
Date:   2018-09-04T10:00:34Z

    Add an example for having two columns as the grouping key in group 
aggregate pandas UDF

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