Matplotlib窗口内回归线的输出值

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]  # 自变量
y = [2, 4, 6, 8, 10]  # 因变量

plt.scatter(x, y)  # 绘制散点图
plt.plot(x, y, color='red', label='Regression Line')  # 绘制回归线

import numpy as np

slope, intercept = np.polyfit(x, y, 1)

plt.text(x[-1], y[-1], f'y = {slope:.2f}x + {intercept:.2f}', verticalalignment='bottom', horizontalalignment='right')

import matplotlib.pyplot as plt
import numpy as np

x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

plt.scatter(x, y)
plt.plot(x, y, color='red', label='Regression Line')

slope, intercept = np.polyfit(x, y, 1)
plt.text(x[-1], y[-1], f'y = {slope:.2f}x + {intercept:.2f}', verticalalignment='bottom', horizontalalignment='right')

plt.xlabel('X')
plt.ylabel('Y')
plt.title('Scatter Plot with Regression Line')
plt.legend()
plt.show()