In [26]:
import numpy as np
import collections
import pandas as pd
xd=pd.DataFrame(columns=['k','Approximante'])
for k in [15,23,30,40,50,60]:
b=0
t=30000
for i in range(t):
x=np.random.randint(1,366,k)
c=collections.Counter(x)
r=sorted(c.values())[::-1][0]
if r>1:
b=b+1
xd=xd.append({'k':k,'Approximante':round(float(b)/t,3)},ignore_index=True)
xd
Out[26]:
In [27]:
x=np.random.randint(1,366,50)
c=collections.Counter(x)
sorted(c.values())[::-1][0]
Out[27]:
In [ ]: