pyesmda.get_anomaly_matrix

pyesmda.get_anomaly_matrix(ensemble: ndarray[tuple[Any, ...], dtype[float64]]) → ndarray[tuple[Any, ...], dtype[float64]]

Return the zero-mean (i.e., centered) anomaly matrix of the ensemble.

Parameters:

ensemble (NDArrayFloat) – Ensemble of realization with shape ($N_{m}$, $N_{e}$), $N_{e}$ and $N_{m}$ being the ensemble size and one member size respectively.

Examples

>>> X = np.array([[-2.4, -0.3,  0.7,  0.2,  1.1],
...               [-1.5,  0.4, -0.4, -0.9,  1. ],
...               [-0.1, -0.4, -0. , -0.5,  1.1]])
>>> get_anomaly_matrix(X)
array([[-0.75424723, -0.11785113,  0.87209836],
    [-0.14142136,  0.35355339, -0.21213203],
    [ 0.42426407, -0.35355339, -0.07071068],
    [ 0.42426407, -0.35355339, -0.07071068],
    [ 0.02357023, -0.04714045,  0.02357023]])

Return type:

The anomaly matrix with with shape ($N_{e}$, $N_{m}$).