snowflake.snowpark.DataFrame.cov¶

DataFrame.cov(col1: ColumnOrName, col2: ColumnOrName, *, statement_params: Dict[str, str] | None = None) → float | None[source]¶

Calculates the sample covariance for non-null pairs in two numeric columns.

Example:

>>> df = session.create_dataframe([[0.1, 0.5], [0.2, 0.6], [0.3, 0.7]], schema=["a", "b"])
>>> df.stat.cov("a", "b")
0.010000000000000037

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Parameters:

• col1 – The name of the first numeric column to use.

• col2 – The name of the second numeric column to use.

• statement_params – Dictionary of statement level parameters to be set while executing this action.

Returns:

The sample covariance of the two numeric columns. If there is not enough data to generate the covariance, the method returns None.