[Numpy-discussion] convert any non square matrix in to square matrix using numpy

[bob tnur]

Hi,
how I can convert (by adding zero) of any non-square numpy matrix in to
square matrix using numpy? then how to find the minimum number in each row
except the zeros added(for making square matrix)? ;)
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] convert any non square matrix in to square matrix using numpy

[Tony Yu]

On Mon, Jun 18, 2012 at 11:55 AM, bob tnur bobtnu...@gmail.com wrote:

 Hi,
 how I can convert (by adding zero) of any non-square numpy matrix in to
 square matrix using numpy? then how to find the minimum number in each row
 except the zeros added(for making square matrix)? ;)

 ___
 NumPy-Discussion mailing list
 NumPy-Discussion@scipy.org
 http://mail.scipy.org/mailman/listinfo/numpy-discussion


Hi Bob,

I'm not quite sure what you're looking for (esp. the second question), but
maybe something like the following?

#~~~ example code
import numpy as np

nonsquare = np.random.random(size=(3, 5))

M, N = nonsquare.shape
width = max(M, N)
square = np.zeros((width, width))
square[:M, :N] = nonsquare

min_rows = np.min(nonsquare, axis=1)
#~~~

-Tony
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] convert any non square matrix in to square matrix using numpy

[eat]

Hi,

On Mon, Jun 18, 2012 at 6:55 PM, bob tnur bobtnu...@gmail.com wrote:

 Hi,
 how I can convert (by adding zero) of any non-square numpy matrix in to
 square matrix using numpy? then how to find the minimum number in each row
 except the zeros added(for making square matrix)? ;)

Perhaps something like this:
In []: def make_square(A):
   ..: s= A.shape
   ..: if s[0] s[1]:
   : return r_[A, zeros((s[1]- s[0], s[1]), dtype= A.dtype)]
   ..: return c_[A, zeros((s[0], s[0]- s[1]), dtype= A.dtype)]
   ..:
In []: A= rand(4, 2)
In []: make_square(A)
Out[]:
array([[ 0.76109774,  0.42980812,  0.,  0.],
   [ 0.11810978,  0.59622975,  0.,  0.],
   [ 0.54991376,  0.29315485,  0.,  0.],
   [ 0.78182313,  0.3828001 ,  0.,  0.]])
In []: make_square(A.T)
Out[]:
array([[ 0.76109774,  0.11810978,  0.54991376,  0.78182313],
   [ 0.42980812,  0.59622975,  0.29315485,  0.3828001 ],
   [ 0.,  0.,  0.,  0.],
   [ 0.,  0.,  0.,  0.]])

will help you.

My 2 cents,
-eat


 ___
 NumPy-Discussion mailing list
 NumPy-Discussion@scipy.org
 http://mail.scipy.org/mailman/listinfo/numpy-discussion


___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion