[Numpy-discussion] another matrix operation
Mon Mar 15 09:09:02 CDT 2010
I would like to do with numpy the following operation.
Let A be an n x n matrix and let s be an integer between 1 and n.
I would like to have an n x n matrix B = f(A,s) such that
- If we only look at the first s columns of B, we will not see any
difference with respect to the first s columns of the n x n identity
- For the last n-s columns of B, we will not see any difference with
respect to the last n-s columns of A.
Example. n = 4, s = 2
B= f(A,s) = [[1,0,2,2],[0,1,3,3],[0,0,4,4],[0,0,5,5]]
Is there a way to do this efficiently (without loops)?
Thanks in advance.
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