如何在一个图中绘制多个图的线性拟合？

import numpy as np
import matplotlib.pyplot as plt

# 生成示例数据
x1 = np.array([1, 2, 3, 4, 5])
y1 = np.array([2, 3, 5, 6, 8])

x2 = np.array([1, 2, 3, 4, 5])
y2 = np.array([1, 4, 7, 10, 13])

# 进行线性拟合
coefficients1 = np.polyfit(x1, y1, 1)
coefficients2 = np.polyfit(x2, y2, 1)

# 生成拟合直线
poly1 = np.poly1d(coefficients1)
poly2 = np.poly1d(coefficients2)

# 绘制数据点和拟合直线
plt.scatter(x1, y1, label='Data 1')
plt.plot(x1, poly1(x1), 'r--', label='Fit 1')

plt.scatter(x2, y2, label='Data 2')
plt.plot(x2, poly2(x2), 'g--', label='Fit 2')

# 添加图例和标签
plt.legend()
plt.xlabel('X')
plt.ylabel('Y')
plt.title('Multiple Linear Fits on the Same Plot')

# 显示图形
plt.show()