Python scipy genextreme fit 从 MATLAB gev fit 函数对相同数据返回不同的参数

我正在try 将一些代码从MatLab移植到Python，我意识到MatLab中的gevfit函数似乎与Scipy genextreme的行为不同，所以我意识到了这个最小的例子:

MATLAB

% Create the MATLAB array
x = [0.5700, 0.8621, 0.9124, 0.6730, 0.5524, 0.7608, 0.2150, 0.5787, ...
           0.7210, 0.7826, 0.8181, 0.5449, 0.7501, 1.1301, 0.7784, 0.5378, ...
           0.9550, 0.9623, 0.6865, 0.6863, 0.6153, 0.4372, 0.5485, 0.6318, ...
           0.5501, 0.8333, 0.8044, 0.9111, 0.8560, 0.6178, 1.0688, 0.7535, ...
           0.7554, 0.7123, 0.7589, 0.8415, 0.7586, 0.3865, 0.3087, 0.7067];

disp(numbers);

parmHat = gevfit(x);

disp('Estimated parameters (A, B):');
disp(parmHat);

估计参数(A，B):-0.3351 0.1962 0.6466

巨 Python

import numpy as np
import scipy.stats as stats

x = np.array([0.5700, 0.8621, 0.9124, 0.6730, 0.5524, 0.7608, 0.2150, 0.5787,
                    0.7210, 0.7826, 0.8181, 0.5449, 0.7501, 1.1301, 0.7784, 0.5378,
                    0.9550, 0.9623, 0.6865, 0.6863, 0.6153, 0.4372, 0.5485, 0.6318,
                    0.5501, 0.8333, 0.8044, 0.9111, 0.8560, 0.6178, 1.0688, 0.7535,
                    0.7554, 0.7123, 0.7589, 0.8415, 0.7586, 0.3865, 0.3087, 0.7067])

# Fit the GEV distribution to the data
parameters3 = stats.genextreme.fit(x)

print("Estimated GEV parameters:", parameters3)

估计GEV参数:(1.0872284332032054，0.534605335200113， 0.6474387313912493)

我希望参数相同，但结果完全不同.有什么帮助吗？