這篇文章主要介紹了python matplotlib擬合直線的實現,文中通過示例程式碼介紹的非常詳細，對大家的學習或者工作具有一定的參考學習價值,需要的朋友可以參考下

程式碼如下

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = ['sans-serif']
plt.rcParams['font.sans-serif'] = ['SimHei']
def linear_regression(x,y):
  N = len(x)
  sumx = sum(x)
  sumy = sum(y)
  sumx2 = sum(x ** 2)
  sumxy = sum(x * y)
  A = np.mat([[N,sumx],[sumx,sumx2]])
  b = np.array([sumy,sumxy])
  return np.linalg.solve(A,b)

#單臂
#修改資料1：
X1=np.array([0,20,40,60,80,100,120,140,160,180,200])
Y1=np.array([0,0.02,0.06,0.1,0.13,0.16,0.19,0.22,0.245,0.278,0.3])

#半橋
#修改資料2：
X2=np.array([0,200])
Y2=np.array([0,0.057,0.118,0.185,0.308,0.376,0.425,0.488,0.544,0.58])

a0,a1 = linear_regression(X1,Y1)
# 生成擬合直線的繪製點
_X1 = [0,200]
_Y1 = [a0 + a1 * x for x in _X1]

a0,a1 = linear_regression(X2,Y2)
# 生成擬合直線的繪製點
_X2 = [0,200]
_Y2 = [a0 + a1 * x for x in _X1]
#顯示影象
plt.plot( X1,Y1,'ro',linewidth=2,label="單臂電橋")
plt.plot(_X1,_Y1,'b',label='單臂電橋',color='C0')
plt.plot( X2,Y2,'g^',label='半橋')
plt.plot(_X2,_Y2,label='半橋',color='C1')
plt.xlabel('weight/g')
plt.ylabel('voltage/v')
plt.legend()
plt.show()

圖例

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