pyspark.sql.DataFrameStatFunctions

class pyspark.sql.DataFrameStatFunctions(df: pyspark.sql.dataframe.DataFrame)

Functionality for statistic functions with DataFrame.

New in version 1.4.

Methods

approxQuantile(col, probabilities, relativeError)	Calculates the approximate quantiles of numerical columns of a DataFrame.
corr(col1, col2[, method])	Calculates the correlation of two columns of a DataFrame as a double value.
cov(col1, col2)	Calculate the sample covariance for the given columns, specified by their names, as a double value.
crosstab(col1, col2)	Computes a pair-wise frequency table of the given columns.
freqItems(cols[, support])	Finding frequent items for columns, possibly with false positives.
sampleBy(col, fractions[, seed])	Returns a stratified sample without replacement based on the fraction given on each stratum.

pyspark.sql.DataFrameNaFunctions pyspark.sql.Window