pyspark.sql.DataFrameStatFunctions¶

class pyspark.sql.DataFrameStatFunctions(df: pyspark.sql.dataframe.DataFrame)[source]¶

Functionality for statistic functions with DataFrame.

New in version 1.4.0.

Changed in version 3.4.0: Supports Spark Connect.

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.