You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Jon Speiser (JIRA)" <ji...@apache.org> on 2015/07/13 17:40:04 UTC

[jira] [Created] (SPARK-9014) Allow Python spark API to use built-in exponential operator

Jon Speiser created SPARK-9014:
----------------------------------

             Summary: 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)



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org