snowflake.snowpark.DataFrameStatFunctions¶

class snowflake.snowpark.DataFrameStatFunctions(df: DataFrame)[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.16.0/src/snowflake/snowpark/dataframe_stat_functions.py#L35-L258)¶

Bases: object

Provides computed statistical functions for DataFrames. To access an object of this class, use DataFrame.stat.

Methods

approxQuantile(col, percentile, *[, ...])	For a specified numeric column and a list of desired quantiles, returns an approximate value for the column at each of the desired quantiles.
approx_quantile(col, percentile, *[, ...])	For a specified numeric column and a list of desired quantiles, returns an approximate value for the column at each of the desired quantiles.
corr(col1, col2, *[, statement_params])	Calculates the correlation coefficient for non-null pairs in two numeric columns.
cov(col1, col2, *[, statement_params])	Calculates the sample covariance for non-null pairs in two numeric columns.
crosstab(col1, col2, *[, statement_params])	Computes a pair-wise frequency table (a contingency table) for the specified columns.
sampleBy(col, fractions)	Returns a DataFrame containing a stratified sample without replacement, based on a dict that specifies the fraction for each stratum.
sample_by(col, fractions)	Returns a DataFrame containing a stratified sample without replacement, based on a dict that specifies the fraction for each stratum.