Hello,

I wanted to do the following thing that I do in Matlab (on a bigger problem), setting the values of a part of a matrix with indexing:

>> a=floor(rand(5,5)*10)  % make an example matrix to work on

a =

2     4     7     9     8
6     9     2     5     2
6     3     5     1     8
1     5     6     1     2
1     2     8     2     9

>> ind=[2,4]

ind =

2     4

>> a(ind,ind)=a(ind,ind)+100

a =

2     4     7     9     8
6   109     2   105     2
6     3     5     1     8
1   105     6   101     2
1     2     8     2     9

===========================

In numpy, the same gives:

In [11]:a=floor(random.rand(5,5)*10)
In [14]:a
Out[14]:
array([[ 7.,  7.,  8.,  1.,  9.],
[ 0.,  4.,  9.,  0.,  5.],
[ 4.,  3.,  7.,  8.,  3.],
[ 2.,  0.,  4.,  2.,  4.],
[ 9.,  5.,  0.,  9.,  9.]])

In [15]:ind=[1,3]

In [20]:a[ind,ind]+=100

In [21]:a
Out[21]:
array([[   7.,    7.,    8.,    1.,    9.],
[   0.,  104.,    9.,    0.,    5.],
[   4.,    3.,    7.,    8.,    3.],
[   2.,    0.,    4.,  102.,    4.],
[   9.,    5.,    0.,    9.,    9.]])

which only replaces 2 values, not all the values in the row,col combinations of [1,1],[1,2],etc...[3,3] like matlab.  Is there a preferred way to do this, which I think should be fairly common.  If I know that the indices are regular (like a slice) is there a way to do this?

thanks,

Brian Blais

--
Brian Blais
bblais@bryant.edu
http://web.bryant.edu/~bblais