Random Drawing Simulation -- performance issue
David J. Braden
dbraden at invalid.add
Wed Sep 13 18:52:06 CEST 2006
David J. Braden wrote:
> Travis E. Oliphant wrote:
>> Brendon Towle wrote:
>>> I need to simulate scenarios like the following: "You have a deck of
>>> 3 orange cards, 5 yellow cards, and 2 blue cards. You draw a card,
>>> replace it, and repeat N times."
>> Thinking about the problem as drawing sample froms a discrete
>> distribution defined by the population might help.
>> For example, in SciPy you can define your own discrete random variable:
>> var = scipy.stats.rv_discrete(name='sample',
>> would quickly return an array of "draws"
>> If you didn't want to install SciPy, but were willing to install
>> NumPy, then the crux of the algorithm is to generate an entire array
>> of uniform random variables: numpy.random.rand(count) and then map
>> them through the inverse cumulative distribution function to generate
>> your samples. The inverse cumulative distribution function is just a
>> series of steps whose width depends on the probablity distribution.
>> Thus, the population defines the draw boundaries. To make it easy,
>> just multiply the uniform random number by the total number of cards
>> and then the boundaries are on the integers of the number of each kind
>> of card.
>> Here is an implementation. I find this version to be 2x - 5x faster
>> depending on how many draws are used.
>> import numpy as N
>> def randomDrawing_N(count, population):
>> probs = [x for x in population]
>> res = [[0, item] for item in population]
>> nums = N.random.rand(count)
>> cprobs = N.cumsum(+probs)
>> nums *= cprobs[-1]
>> for k, val in enumerate(probs):
>> res[k] += ((nums > cprobs[k]) & (nums < cprobs[k+1])).sum()
>> return res
>> -Travis Oliphant
> In response to what Travis and Simon wrote -
> (1) Where the heck can I find a description of scipy's stat functions?
> Documentation on these seems sparse.
> (2) How does one set up a good timer for Python as implemented for
> Windows? (i.e., how can I make API calls to Windows from Python?)
> Please bear with me, or not; I am /just/ starting off with Python.
> Dave Braden
Oops, or rather, duh.
Rereading Robert's post clarified for me where multinomial is, and that
to get help I need to specify more than simply help(multinomial).
Sheesh, I'm dim today.
My question re timing code stands.
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