data_plot

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
#  data_plot
#  
#  Copyright 2021 123 <123@DESKTOP-GGMH6CF>
#  
#  This program is free software; you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation; either version 2 of the License, or
#  (at your option) any later version.
#  
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#  GNU General Public License for more details.
#  
#  You should have received a copy of the GNU General Public License
#  along with this program; if not, write to the Free Software
#  Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
#  MA 02110-1301, USA.
#  
#  
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
data = np.loadtxt("bipartite_test.txt",dtype = np.float)
plt.figure(figsize= (6, 2.5)) # 
plt.plot(x, y,label="bfs_deque")
y= data[:,2]
plt.plot(x,y,color='red',label="dfs_deque") # represent the 
y= data[:,3]
plt.plot(x,y,color='green',label="bfs_queue") # represent the 
y= data[:,4]
plt.plot(x,y,color='yellow',label="dfs_stack") # represent the 
plt.grid(ls = '--') # set figure style 
plt.xlabel("graph size")
plt.ylabel("traversal time(ms)")
plt.legend()#show the label
plt.show()