Nota
L-aċċess għal din il-paġna jeħtieġ l-awtorizzazzjoni. Tista’ tipprova tidħol jew tibdel id-direttorji.
L-aċċess għal din il-paġna jeħtieġ l-awtorizzazzjoni. Tista’ tipprova tibdel id-direttorji.
Calculate the sample covariance for the given columns, specified by their names, as a double value. DataFrame.cov and DataFrameStatFunctions.cov are aliases.
Syntax
cov(col1: str, col2: str)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
str | The name of the first column. |
col2 |
str | The name of the second column. |
Returns
float: Covariance of two columns.
Examples
df = spark.createDataFrame([(1, 12), (10, 1), (19, 8)], ["c1", "c2"])
df.cov("c1", "c2")
# -18.0
df = spark.createDataFrame([(11, 12), (10, 11), (9, 10)], ["small", "bigger"])
df.cov("small", "bigger")
# 1.0