实现简单的线性拟合
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2022-07-13 11:51:48
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import numpy as np
import matplotlib.pyplot as plt
# x = np.arange(1,17,1)
# y = np.array([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.20, 10.32, 10.42, 10.50, 10.55, 10.58, 10.60])
x =[150.0, 200.0, 250.0, 300.0, 350.0, 400.0, 600.0]
y =[6450.0, 7450.0, 8450.0, 9450.0, 11450.0, 15450.0, 18450.0]
print x
print y
z3 = np.polyfit(x,y,3)
p3 = np.poly1d(z3)
print z3
print p3
z1 = np.polyfit(x,y,1)
p1 = np.poly1d(z1)
print z1
print p1
plt.scatter(x,y,color = 'blue')
# plt.plot(x,y,'b^')
# plt.plot(x,p3(x),'gv--')
plt.plot(x,p1(x),'r*-')
plt.show()
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