estimator.py 文件源码

def minmax(X):
    """
    Returns the MinMax Semivariance of sample X.
    X has to be an even-length array of point pairs like: x1, x1+h, x2, x2+h, ..., xn, xn+h.

    :param X:
    :return:
    """
    _X = np.asarray(X)

    if any([isinstance(_, list) or isinstance(_, np.ndarray) for _ in _X]):
        return [minmax(_) for _ in _X]

    # check even
    if len(_X) % 2 > 0:
        raise ValueError('The sample does not have an even length: {}'.format(_X))

    return (np.nanmax(_X) - np.nanmin(_X)) / np.nanmean(_X)