销售前的奉承，不如售后服务。这是制造“永久顾客”的不二法则。那些花了好久才想明白的事，总是会被偶尔的情绪失控全部推翻。
如下所示：
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 07 09:17:40 2018
@author: yjp
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
y0 = []
y1 = []
y2 = []
y3 = []
y4 = []
f = open("y0.txt")
lines = f.readlines()
for li in lines:
y0.append(li)
f = open("y1.txt")
lines = f.readlines()
for li in lines:
y1.append(li)
f = open("y2.txt")
lines = f.readlines()
for li in lines:
y2.append(li)
f = open("y3.txt")
lines = f.readlines()
for li in lines:
y3.append(li)
f = open("y4.txt")
lines = f.readlines()
for li in lines:
y4.append(li)
font1 = {'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 9,
}
font2 = {'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 14,
}
figsize = 8, 9
plt.subplots(figsize=figsize) # 设定整张图片大小
ax1 = plt.subplot(4, 1, 1)
ax1.yaxis.set_major_locator(MultipleLocator(15)) # 设定y轴刻度间距
#第一条线
x = range(0, len(y0))
plt.plot(x, y0, color='black', label='$DT$', linewidth=0.8) # 绘制，指定颜色、标签、线宽，标签采用latex格式
plt.ylim(-90, -20) # 设定y轴范围
hl=plt.legend(loc='upper right', prop=font1, frameon=False) # 绘制图例，指定图例位置
#set(hl,'Box','off');
#第二条曲线
x = range(0, len(y1))
plt.plot(x, y1, color='red', label='$M_1$', linewidth=0.8)
plt.legend(loc='upper right', prop=font1, frameon=False) # 绘制图例，指定图例位置
plt.xticks([]) # 去掉x坐标轴刻度
plt.xlim(0, 580) # 设定x轴范围
ax2 = plt.subplot(4, 1, 2)
ax2.yaxis.set_major_locator(MultipleLocator(15))
x = range(0, len(y0))
plt.plot(x, y0, color='black', label='$DT$', linewidth=0.8)
plt.ylim(-90, -20)
hl=plt.legend(loc='upper right', prop=font1, frameon=False)
#set(hl,'Box','off');
x = range(0, len(y2))
plt.plot(x, y2, color='red', label='$M_2$', linewidth=0.8)
plt.legend(loc='upper right', prop=font1, frameon=False)
plt.ylabel("strength/dBm", font2)
plt.xticks([])
plt.xlim(0, 580)
ax3 = plt.subplot(4, 1, 3)
ax3.yaxis.set_major_locator(MultipleLocator(15))
x = range(0, len(y0))
plt.plot(x, y0, color='black', label='$DT$', linewidth=0.8)
hl=plt.legend(loc='upper right', prop=font1, frameon=False)
#set(hl,'Box','off');
plt.ylim(-90, -20)
x = range(0, len(y3))
plt.plot(x, y3, color='red', label='$M_3$', linewidth=0.8)
plt.legend(loc='upper right', prop=font1, frameon=False)
plt.xticks([])
plt.xlim(0, 580)
ax4 = plt.subplot(4, 1, 4)
ax4.yaxis.set_major_locator(MultipleLocator(15))
ax4.xaxis.set_major_locator(MultipleLocator(50))
x = range(0, len(y0))
plt.plot(x, y0, color='black', label='$DT$', linewidth=0.8)
plt.ylim(-90, -20)
hl=plt.legend(loc='upper right', prop=font1, frameon=False)
#set(hl,'Box','off');
x = range(0, len(y4))
plt.plot(x, y4, color='red', label='$M_4$', linewidth=0.8)
plt.legend(loc='upper right', prop=font1, frameon=False)
plt.xlabel("index of grids in path", font2)
plt.xlim(0, 580)
plt.savefig("1.png", dpi=600))
plt.show()
以上这篇python 实现将多条曲线画在一幅图上的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。
