On 3/13/07, Geoframer <[EMAIL PROTECTED]> wrote:
> I don't see a solution here... It is not conclusive on what's the minimum
> for an array.
>
> ln [1]: import numpy
> In [2]: a =
> numpy.array([[1,2,3,0],[2,3,4,5],[6,5,4,3],[-1,2,-4,5]])
Well, what exactly is it that you'd like the answer to be?
I don't see a solution here... It is not conclusive on what's the minimum
for an array.
ln [1]: import numpy
In [2]: a = numpy.array([[1,2,3,0],[2,3,4,5],[6,5,4,3],[-1,2,-4,5]])
In [3]: a
Out[3]:
array([[ 1, 2, 3, 0],
[ 2, 3, 4, 5],
[ 6, 5, 4, 3],
[-1, 2, -4, 5]])
I
On Tuesday 13 March 2007 11:57, Geoframer wrote:
> Hey everyone,
>
> I've been trying to locate a way to find the location of the
> minimum value in an n*n array.
The 'argmin' function is probably what you are looking for.
See the examples at:
http://www.scipy.org/Numpy_Example_List
Regards Eike
Hey everyone,
I've been trying to locate a way to find the location of the minimum value
in an n*n array.
For instance suppose we have a 10x10 array.
In [1]: import numpy
In [2]: a = numpy.zeros((10,10))
In [3]: a
Out[3]:
array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0.
