Python – How to Generate a 12-Digit Random Number

python

In Python, how to generate a 12-digit random number? Is there any function where we can specify a range like random.range(12)?

import random
random.randint()

The output should be a string with 12 digits in the range 0-9 (leading zeros allowed).

Best Answer

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.

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