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https://issues.apache.org/jira/browse/SPARK-24946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16563052#comment-16563052
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Hyukjin Kwon commented on SPARK-24946:
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Hmmm. mind if I ask a discussion in dev mailing list after Spark 2.4.0 is
released (since committers and guys are busy on this currently)? This one
specific case can be trivial but I am worried if we should consider allowing
all other cases.
> 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, 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)`.
>
>
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