[SciPy-user] How to generate equivalent "random" numbers in matlab and scipy?
Sun Feb 22 22:07:54 CST 2009
On Sun, Feb 22, 2009 at 21:59, Nicolas Pinto <firstname.lastname@example.org> wrote:
> Dear all,
> I'd like to generate equivalent sequences of 'random' numbers in matlab and
> scipy, is there any way I can do that? I tried to fix the seed (see below)
> but it doesn't work.
> # scipy
> In : random.seed(1); random.permutation(5)+1
> Out: array([3, 2, 5, 1, 4])
> % matlab
>>> rand('seed', 1); randperm(5)
> ans =
> 4 3 5 2 1
A quick Google tells me that starting with Matlab 7.4, they do use the
Mersenne Twister by default, so it might be possible if you can
re-implement their seeding algorithm. Use RandomState.set_state() to
set the MT state vector directly (this is different from seeding,
which generates an MT state vector from a other kinds of inputs).
While this would give you identical sequences of samples (e.g.
random_sample(), randint(), etc.), there is no guarantee that the
algorithms we implement on top of the fundamental PRNG are the same
"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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