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
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