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https://issues.apache.org/jira/browse/SPARK-19428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15852884#comment-15852884
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Luke Miner edited comment on SPARK-19428 at 2/4/17 6:15 PM:
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That would be fantastic. Would it be possible to generalize it so that you
could get more than one if needed?
{{df.groupBy("group").agg(head("somecolumn", 10))}}
I've also had the use case where people ask me to get the top ten by some
criteria for each group. For example, 10 biggest employers in each county.
was (Author: lminer):
That would be fantastic. Would it be possible to generalize it so that you
could get more than one if needed?
{{df.groupBy("group").agg(head("somecolumn"))}}
I've also had the use case where people ask me to get the top ten by some
criteria for each group. For example, 10 biggest employers in each county.
> Ability to select first row of groupby
> --------------------------------------
>
> Key: SPARK-19428
> URL: https://issues.apache.org/jira/browse/SPARK-19428
> Project: Spark
> Issue Type: Brainstorming
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Luke Miner
> Priority: Minor
>
> It would be nice to be able to select the first row from {{GroupedData}}.
> Pandas has something like this:
> {{df.groupby('group').first()}}
> It's especially handy if you can order the group as well.
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