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python 實(shí)現(xiàn)將多條曲線畫在一幅圖上的方法

更新時(shí)間：2019年07月07日 14:04:56 作者：諦聽-

今天小編就為大家分享一篇python 實(shí)現(xiàn)將多條曲線畫在一幅圖上的方法，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。一起跟隨小編過來看看吧

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)                # 設(shè)定整張圖片大小

ax1 = plt.subplot(4, 1, 1)
ax1.yaxis.set_major_locator(MultipleLocator(15))       # 設(shè)定y軸刻度間距
#第一條線
x = range(0, len(y0))
plt.plot(x, y0, color='black', label='$DT$', linewidth=0.8) # 繪制，指定顏色、標(biāo)簽、線寬，標(biāo)簽采用latex格式
plt.ylim(-90, -20)                      # 設(shè)定y軸范圍
hl=plt.legend(loc='upper right', prop=font1, frameon=False)                # 繪制圖例，指定圖例位置
#set(hl,'Box','off');
#第二條曲線
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)                # 繪制圖例，指定圖例位置
plt.xticks([])                        # 去掉x坐標(biāo)軸刻度
plt.xlim(0, 580)                       # 設(shè)定x軸范圍

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()