matplotlib画图

matplotlib画图

import numpy as np
import matplotlib.pyplot as plt
x1=[20,33,51,79,101,121,132,145,162,182,203,219,232,243,256,270,287,310,325]
y1=[49,48,48,48,48,87,106,123,155,191,233,261,278,284,297,307,341,319,341]
x2=[31,52,73,92,101,112,126,140,153,175,186,196,215,230,240,270,288,300]
y2=[48,48,48,48,49,89,162,237,302,378,443,472,522,597,628,661,690,702]
x3=[30,50,70,90,105,114,128,137,147,159,170,180,190,200,210,230,243,259,284,297,311]
y3=[48,48,48,48,66,173,351,472,586,712,804,899,994,1094,1198,1360,1458,1578,1734,1797,1892]
x=np.arange(20,350)
l1=plt.plot(x1,y1,'r--',label='type1')
l2=plt.plot(x2,y2,'g--',label='type2')
l3=plt.plot(x3,y3,'b--',label='type3')
plt.plot(x1,y1,'ro-',x2,y2,'g+-',x3,y3,'b^-')
plt.title('The Lasers in Three Conditions')
plt.xlabel('row')
plt.ylabel('column')
plt.legend()
plt.show()

# -*- coding: UTF-8 -*-
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

#这里导入你自己的数据
#......
#......
#x_axix，train_pn_dis这些都是长度相同的list()

#开始画图
sub_axix = filter(lambda x:x%200 == 0, x_axix)
plt.title('Result Analysis')
plt.plot(x_axix, train_acys, color='green', label='training accuracy')
plt.plot(sub_axix, test_acys, color='red', label='testing accuracy')
plt.plot(x_axix, train_pn_dis,  color='skyblue', label='PN distance')
plt.plot(x_axix, thresholds, color='blue', label='threshold')
plt.legend() # 显示图例

plt.xlabel('iteration times')
plt.ylabel('rate')
plt.show()
#python 一个折线图绘制多个曲线