bigframes.geopandas.GeoSeries.cov#

GeoSeries.cov(other:Series)→float#

Compute covariance with Series, excluding missing values.

The twoSeries objects are not required to be the same length andwill be aligned internally before the covariance is calculated.

Examples:

>>>s1=bpd.Series([0.90010907,0.13484424,0.62036035])>>>s2=bpd.Series([0.12528585,0.26962463,0.51111198])>>>s1.cov(s2)np.float64(-0.01685762652715874)

Parameters:

other (Series) – Series with which to compute the covariance.

Returns:

Covariance between Series and other normalized by N-1(unbiased estimator).

Return type:

float