That's what I was looking for, except that I want to be sure to generate all the possible combinations, and to have no repeated values.
Thanks Edmondo 2013/9/25 Robert Kern <robert.k...@gmail.com> > On Wed, Sep 25, 2013 at 8:06 AM, Edmondo Porcu <edmondo.po...@gmail.com> > wrote: > > > > Dear all, > > > > I am a Newbie with Numpy and I would need some advice on how to create a > matrix with certain characteristics : > > > > - Every entry should be minimum 0 maximum 1 with a step of 0.1 (legal > values are 0,0.1,0.2,0.3 etc) > > > > - The number of columns of the matrix is a parameter of this matrix > creation algorithm > > > > - Only the rows where the sum is 1 must be kept > > > > Would great appreciate your advice and suggestions > > Use a multinomial distribution with n=10, then divide by 10.0. > > For example, with 5 columns and 20 samples: > > [~] > |4> np.random.multinomial(10, np.ones(5)/5.0, size=20) / 10.0 > array([[ 0.1, 0.1, 0.4, 0.1, 0.3], > [ 0.2, 0.4, 0.1, 0.3, 0. ], > [ 0.3, 0.2, 0. , 0.2, 0.3], > [ 0. , 0.4, 0.4, 0. , 0.2], > [ 0.2, 0.3, 0.1, 0.2, 0.2], > [ 0.1, 0.5, 0.1, 0.1, 0.2], > [ 0.4, 0. , 0.2, 0.3, 0.1], > [ 0.3, 0.3, 0.1, 0. , 0.3], > [ 0. , 0.2, 0.5, 0.2, 0.1], > [ 0.5, 0.1, 0. , 0.2, 0.2], > [ 0.1, 0.3, 0.2, 0.2, 0.2], > [ 0.3, 0.1, 0.2, 0.2, 0.2], > [ 0.2, 0.3, 0. , 0.3, 0.2], > [ 0.2, 0.3, 0.2, 0.3, 0. ], > [ 0.1, 0.3, 0.2, 0. , 0.4], > [ 0.1, 0.1, 0.2, 0.5, 0.1], > [ 0.1, 0.6, 0. , 0. , 0.3], > [ 0.1, 0.2, 0.4, 0.1, 0.2], > [ 0.3, 0.1, 0.2, 0.2, 0.2], > [ 0.2, 0.1, 0.4, 0.2, 0.1]]) > > -- > Robert Kern > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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