bigframes.geopandas.GeoSeries.cov

GeoSeries.cov(other: Series) → float

Compute covariance with Series, excluding missing values.

The two Series objects are not required to be the same length and will 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