pyspark.sql.functions.covar_pop#

pyspark.sql.functions.covar_pop(col1, col2)[source]#

Returns a new Column for the population covariance of col1 and col2.

New in version 2.0.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

col1Column or column name: first column to calculate covariance.
col2Column or column name: second column to calculate covariance.

Returns

Column: covariance of these two column values.

See also

pyspark.sql.functions.covar_samp()

Examples

>>> from pyspark.sql import functions as sf
>>> a = [1] * 10
>>> b = [1] * 10
>>> df = spark.createDataFrame(zip(a, b), ["a", "b"])
>>> df.agg(sf.covar_pop("a", df.b)).show()
+---------------+
|covar_pop(a, b)|
+---------------+
|            0.0|
+---------------+