如何使用scipy curve_fit将曲线拟合到此数据

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

def func(x, a, b, c):
    return a * np.exp(-b * x) + c

x_data = np.array([0, 1, 2, 3, 4, 5])
y_data = np.array([1, 2, 3, 4, 5, 6])

params, params_covariance = curve_fit(func, x_data, y_data)

x = np.linspace(0, 5, 100)
y = func(x, params[0], params[1], params[2])

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