zipf分佈的python實現,參考了[1],[2]。[2]是一個在NDN網絡中關於cache的一個仿真器。
code:
import numpy as np
import random
import matplotlib.pyplot as plt
N = 7
x = np.arange(1, N+1)
alpha=1.1
pdf=x**(-alpha)
pdf/=pdf.sum()
cdf=np.cumsum(pdf)
sample=np.zeros((N,), dtype=np.int)
points=10000
for i in range(points):
rv = random.random()
axis=int(np.searchsorted(cdf, rv) + 1)
sample[axis-1]+=1
print sample
results:
[4170 1928 1285 888 734 510 485]
The results conform with [1].
[1] Sampling from a bounded domain zipf distribution
[2] icarus-sim/icarus
[3] Zipf齊夫分佈及Java實現