2011/8/31 Christopher Jordan-Squire <cjord...@uw.edu> > On Wed, Aug 31, 2011 at 2:07 PM, Olivier Delalleau <sh...@keba.be> wrote: > > You can use: > > 1 + numpy.argmax(numpy.random.multinomial(1, [0.1, 0.2, 0.7])) > > > > For your "real" application you'll probably want to use a value >1 for > the > > first parameter (equal to your sample size), instead of calling it > multiple > > times. > > > > -=- Olivier > > Thanks. Warren (Weckesser) mentioned this possibility to me yesterday > and I forgot to put it in my post. I assume you mean something like > > x = np.arange(3) > y = np.random.multinomial(30, [0.1,0.2,0.7]) > z = np.repeat(x, y) > np.random.shuffle(z) > > That look right? > > -Chris JS > > Yes, exactly.
-=- Olivier
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