拟合威布尔函数

Question

我在使用scipy Optimize软件包使曲线拟合时有些麻烦。我的代码是：

import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit

def drm(x,y,func, mprint = False):
    x = np.array(x)
    y = np.array(y)

    # flip array values
    x = x[::-1] - np.amin(x)
    y = y[::-1]
    popt, pcov = curve_fit(func, x, y)
    if mprint:
        plt.figure()
        plt.plot(x, y, 'ko', label="Original Data")
        plt.plot(x, func(x, *popt), 'r-', label="Fitted Curve")
        plt.legend()
        plt.show()
    return popt

# 1. Function for Weibull (type 1) with lower limit at 0
def W1_3(x, b, d, e):
    Function_W1_3(x, b, 0, d, e)

def Function_W1_3(x, b, c, d, e):
    if e == 0:
        e = 1e-8
    return c + (d-c) * np.exp(-np.exp(b * (np.log(x) - np.log(e))))

y= [207, 263, 401, 460, 531, 576, 1350, 2317, 2340, 2834]
x= [135, 126, 120, 100, 90, 85, 80, 70, 65, 60]

popt = drm(x, y, W1_3, mprint = True)
print(popt)

我犯了一个典型错误，但我不明白自己在做什么错... TypeError：-：“ NoneType”和“ float”的不受支持的操作数类型

有人可以帮我吗？

非常感谢！

Xevi