DataFrameStatFunctions Class

Definition

Namespace:

Microsoft.Spark.Sql

Assembly:

Microsoft.Spark.dll

Package:

Microsoft.Spark v1.0.0

Provides statistic functions for DataFrame.

public sealed class DataFrameStatFunctions

type DataFrameStatFunctions = class

Public NotInheritable Class DataFrameStatFunctions

Inheritance

Object

DataFrameStatFunctions

Methods

ApproxQuantile(String, IEnumerable<Double>, Double)	Calculates the approximate quantiles of a numerical column of a DataFrame.
Corr(String, String)	Calculates the Pearson Correlation Coefficient of two columns of a DataFrame.
Corr(String, String, String)	Calculates the correlation of two columns of a DataFrame.
Cov(String, String)	Calculate the sample covariance of two numerical columns of a DataFrame.
Crosstab(String, String)	Computes a pair-wise frequency table of the given columns, also known as a contingency table.
FreqItems(IEnumerable<String>)	Finding frequent items for columns, possibly with false positives with a default support of 1%.
FreqItems(IEnumerable<String>, Double)	Finding frequent items for columns, possibly with false positives.
SampleBy<T>(Column, IDictionary<T,Double>, Int64)	Returns a stratified sample without replacement based on the fraction given on each stratum.
SampleBy<T>(String, IDictionary<T,Double>, Int64)	Returns a stratified sample without replacement based on the fraction given on each stratum.