numpy.polyfit的最简单的绘图结果？

import numpy as np
import matplotlib.pyplot as plt

x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 8, 10])

coefficients = np.polyfit(x, y, 1)  # 拟合一阶多项式

poly_function = np.poly1d(coefficients)

x_values = np.linspace(0, 6, 100)  # 生成绘图用的x值
y_values = poly_function(x_values)  # 根据多项式函数计算对应的y值

plt.scatter(x, y, label='Data Points')  # 绘制数据点
plt.plot(x_values, y_values, label='Fitted Curve')  # 绘制拟合曲线
plt.xlabel('x')
plt.ylabel('y')
plt.title('Fitted Curve using numpy.polyfit')
plt.legend()
plt.show()