On Thu, Sep 18, 2008 at 16:55, Paul Moore <[EMAIL PROTECTED]> wrote:
> I want to generate a series of random samples, to do simulations based
> on them. Essentially, I want to be able to produce a SAMPLESIZE * N
> matrix, where each row of N values consists of either
>
> 1. Integers between 1 and M (simulating M rolls of an N-sided die), or
> 2. A sample of N numbers between 1 and M without repeats (simulating
> deals of N cards from an M-card deck).
>
> Example (1) is easy, numpy.random.random_integers(1, M, (SAMPLESIZE, N))
>
> But I can't find an obvious equivalent for (2). Am I missing something
> glaringly obvious? I'm using numpy - is there maybe something in scipy I
> should be looking at?
numpy.array([(numpy.random.permutation(M) + 1)[:N]
for i in range(SAMPLESIZE)])
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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