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()

matplotlib画图-LMLPHP

# -*- 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

matplotlib画图-LMLPHP