pyspark.sql.DataFrameStatFunctions¶
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class
pyspark.sql.DataFrameStatFunctions(df: pyspark.sql.dataframe.DataFrame)¶ Functionality for statistic functions with
DataFrame.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
DataFrameas 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.