pyspark.sql.functions.regr_intercept

pyspark.sql.functions.regr_intercept(y: ColumnOrName, x: ColumnOrName) → pyspark.sql.column.Column

Aggregate function: returns the intercept of the univariate linear regression line for non-null pairs in a group, where y is the dependent variable and x is the independent variable.

New in version 3.5.0.

Parameters

yColumn or str

the dependent variable.

xColumn or str

the independent variable.

Returns

Column

the intercept of the univariate linear regression line for non-null pairs in a group.

Examples

>>> x = (col("id") % 3).alias("x")
>>> y = (randn(42) + x * 10).alias("y")
>>> df = spark.range(0, 1000, 1, 1).select(x, y)
>>> df.select(regr_intercept("y", "x")).first()
Row(regr_intercept(y, x)=-0.04961745990969568)

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