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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:44:22 UTC
[jira] [Resolved] (SPARK-24946) PySpark - Allow np.Arrays and
pd.Series in df.approxQuantile
[ https://issues.apache.org/jira/browse/SPARK-24946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-24946.
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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)`.
>
>
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