"""This file contains code used in "Think Stats",
by Allen B. Downey, available from greenteapress.com
Copyright 2014 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
from __future__ import print_function
import random
import numpy as np
import scipy.stats
def write_sample(sample, filename):
"""Write a sequence of floats to a file.
"""
fp = open(filename, 'w')
for x in sample:
fp.write('%f\n' % x)
fp.close()
def uniform_sample(n):
return [random.uniform(0, 100) for i in range(n)]
def triangular_sample(n):
return [random.triangular(0, 100) for i in range(n)]
def expo_sample(n):
return [random.expovariate(1.0/50) for i in range(n)]
def gauss_sample(n):
return [random.gauss(50, 25) for i in range(n)]
def lognorm_sample(n):
return [random.lognormvariate(3, 1.3) for i in range(n)]
def pareto_sample(n):
return [10 * random.paretovariate(1.2) for i in range(n)]
def weibull_sample(n):
return [random.weibullvariate(60, 5) for i in range(n)]
def gumbel_sample(n):
rv = scipy.stats.gumbel_r(45, 10)
return rv.rvs(n)
def main():
funcs = [uniform_sample, triangular_sample, expo_sample,
gauss_sample, lognorm_sample, pareto_sample,
weibull_sample, gumbel_sample]
for i in range(len(funcs)):
sample = funcs[i](1000)
print(np.mean(sample))
filename = 'mystery%d.dat' % i
write_sample(sample, filename)
if __name__ == '__main__':
main()
