[ https://issues.apache.org/jira/browse/SPARK-9014?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu resolved SPARK-9014. ------------------------------- Resolution: Fixed Fix Version/s: 1.6.0 Issue resolved by pull request 8658 [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 > Fix For: 1.6.0 > > > 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) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org