#!/usr/bin/env python
from scipy.stats import bernoulli,poisson,norm,expon
bernoulli, poisson, norm, expon and many others are documented here
print(norm.rvs(size=30))
print(bernoulli.rvs(.3,size=30))
print(poisson.rvs(1,2,size=30))
print(expon.rvs(5,size=30))
All the distributions defined in scipy.stats have a common interface to the pdf, cdf, rvs (random variates). More info here.
Whats wrong with a straightforward approach?
>>> import random
>>> random.randint(100000000000,999999999999)
544234865004L
And if you want it with leading zeros, you need a string.
>>> "%0.12d" % random.randint(0,999999999999)
'023432326286'
Edit:
My own solution to this problem would be something like this:
import random
def rand_x_digit_num(x, leading_zeroes=True):
"""Return an X digit number, leading_zeroes returns a string, otherwise int"""
if not leading_zeroes:
# wrap with str() for uniform results
return random.randint(10**(x-1), 10**x-1)
else:
if x > 6000:
return ''.join([str(random.randint(0, 9)) for i in xrange(x)])
else:
return '{0:0{x}d}'.format(random.randint(0, 10**x-1), x=x)
Testing Results:
>>> rand_x_digit_num(5)
'97225'
>>> rand_x_digit_num(5, False)
15470
>>> rand_x_digit_num(10)
'8273890244'
>>> rand_x_digit_num(10)
'0019234207'
>>> rand_x_digit_num(10, False)
9140630927L
Timing methods for speed:
def timer(x):
s1 = datetime.now()
a = ''.join([str(random.randint(0, 9)) for i in xrange(x)])
e1 = datetime.now()
s2 = datetime.now()
b = str("%0." + str(x) + "d") % random.randint(0, 10**x-1)
e2 = datetime.now()
print "a took %s, b took %s" % (e1-s1, e2-s2)
Speed test results:
>>> timer(1000)
a took 0:00:00.002000, b took 0:00:00
>>> timer(10000)
a took 0:00:00.021000, b took 0:00:00.064000
>>> timer(100000)
a took 0:00:00.409000, b took 0:00:04.643000
>>> timer(6000)
a took 0:00:00.013000, b took 0:00:00.012000
>>> timer(2000)
a took 0:00:00.004000, b took 0:00:00.001000
What it tells us:
For any digit under around 6000 characters in length my method is faster - sometimes MUCH faster, but for larger numbers the method suggested by arshajii looks better.
Best Answer
You can use either of
random.randint
orrandom.randrange
. So to get a random 3-digit number:* Assuming you really meant three digits, rather than "up to three digits".
To use an arbitrary number of digits:
Output: