[
https://issues.apache.org/jira/browse/SPARK-24946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-24946.
----------------------------------
Resolution: Incomplete
> PySpark - Allow np.Arrays and pd.Series in df.approxQuantile
> ------------------------------------------------------------
>
> Key: SPARK-24946
> URL: https://issues.apache.org/jira/browse/SPARK-24946
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.3.1
> Reporter: Paul Westenthanner
> Priority: Minor
> Labels: DataFrame, beginner, bulk-closed, pyspark
>
> As Python user it is convenient to pass a numpy array or pandas series
> `{{approxQuantile}}(_col_, _probabilities_, _relativeError_)` for the
> probabilities parameter.
>
> Especially for creating cumulative plots (say in 1% steps) it is handy to use
> `approxQuantile(col, np.arange(0, 1.0, 0.01), relativeError)`.
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
