cudf.Series.cov#
- Series.cov(other, min_periods=None)#
Compute covariance with Series, excluding missing values.
- Parameters
- otherSeries
Series with which to compute the covariance.
- Returns
- float
Covariance between Series and other normalized by N-1 (unbiased estimator).
Notes
min_periods parameter is not yet supported.
Examples
>>> import cudf >>> ser1 = cudf.Series([0.9, 0.13, 0.62]) >>> ser2 = cudf.Series([0.12, 0.26, 0.51]) >>> ser1.cov(ser2) -0.015750000000000004