import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import pylab as pl
import numpy as np
from scipy import stats
from scipy.interpolate import interp1d

f = open('estandar.txt','r')
Complete = []
Path = []
Bipartite = []
Star = []
longitud = int(f.readline())
compete = f.readline()
for i in range(0,26):
    Complete.append(int(f.readline()))
path = f.readline()
for i in range(0,26):
    Path.append(int(f.readline()))
bipartite = f.readline()
for i in range(0,26):
    Bipartite.append(int(f.readline()))
star = f.readline()
for i in range(0,26):
    Star.append(int(f.readline()))


elementos = range(5,135,5)
print len(Complete)
print len(elementos)
print elementos
df = pd.DataFrame({'elementos': elementos,'Complete':Complete,'Path':Path,'Bipartite':Bipartite,'Star': Star})
plt.clf()
df.plot(x='elementos',logy=True)
plt.ylabel('Tiempo (microsegundos)')
plt.show()

18e349ec427e66cdcf22aa47317d116b10a2fa59
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import pylab as pl
import numpy as np
from scipy import stats
from scipy.interpolate import interp1d

f = open('estandar.txt','r')
Complete = []
Path = []
Bipartite = []
Star = []
longitud = int(f.readline())
compete = f.readline()
for i in range(0,26):
    Complete.append(int(f.readline()))
path = f.readline()
for i in range(0,26):
    Path.append(int(f.readline()))
bipartite = f.readline()
for i in range(0,26):
    Bipartite.append(int(f.readline()))
star = f.readline()
for i in range(0,26):
    Star.append(int(f.readline()))


elementos = range(5,135,5)
print len(Complete)
print len(elementos)
print elementos
df = pd.DataFrame({'elementos': elementos,'Complete':Complete,'Path':Path,'Bipartite':Bipartite,'Star': Star})
plt.clf()
df.plot(x='elementos',logy=True)
plt.ylabel('Tiempo (microsegundos)')
plt.show()
