如何在python matplotlib中使用loglog绘制最佳拟合直线

import numpy as np
import matplotlib.pyplot as plt

x = np.array([1, 10, 100, 1000])  # x轴数据
y = np.array([0.1, 1, 10, 100])  # y轴数据

coefficients = np.polyfit(np.log10(x), np.log10(y), 1)
slope = coefficients[0]  # 斜率
intercept = coefficients[1]  # 截距

plt.loglog(x, y, 'ro', label='Data')  # 绘制数据点
plt.loglog(x, 10**(slope*np.log10(x) + intercept), 'b-', label='Best Fit Line')  # 绘制最佳拟合直线

plt.legend()
plt.xlabel('X')
plt.ylabel('Y')
plt.title('Log-Log Plot with Best Fit Line')

plt.show()