如何使用LMfit将曲线拟合为双高斯/偏高斯

import numpy as np
import matplotlib.pyplot as plt
from lmfit import Model

x = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
y = np.array([0.2, 0.5, 0.8, 1.2, 1.5, 1.8, 2.2, 1.9, 1.6, 1.3])

def double_gaussian(x, amp1, cen1, wid1, amp2, cen2, wid2):
    return (amp1*np.exp(-(x-cen1)**2/(2*wid1**2)) +
            amp2*np.exp(-(x-cen2)**2/(2*wid2**2)))

model = Model(double_gaussian)

params = model.make_params(amp1=1, cen1=5, wid1=1, amp2=1, cen2=7, wid2=1)

result = model.fit(y, params, x=x)

print(result.fit_report())

plt.plot(x, y, 'bo', label='data')
plt.plot(x, result.best_fit, 'r-', label='fit')
plt.legend()
plt.show()