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https://issues.apache.org/jira/browse/SPARK-9014?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14735664#comment-14735664
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Apache Spark commented on SPARK-9014:
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User '0x0FFF' has created a pull request for this issue:
https://github.com/apache/spark/pull/8658
> Allow Python spark API to use built-in exponential operator
> -----------------------------------------------------------
>
> Key: SPARK-9014
> URL: https://issues.apache.org/jira/browse/SPARK-9014
> Project: Spark
> Issue Type: Wish
> Components: PySpark
> Affects Versions: 1.4.0
> Reporter: Jon Speiser
> Priority: Minor
>
> It would be nice if instead of saying:
> import pyspark.sql.functions as funcs
> df = df.withColumn("standarderror", funcs.sqrt(df["variance"]))
> ...if I could simply say:
> df = df.withColumn("standarderror", df["variance"] ** 0.5)
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