[Numpy-discussion] matrix indexing question
Joachim Dahl
dahl.joachim@gmail....
Tue Mar 27 15:53:16 CDT 2007
On 3/27/07, Zachary Pincus <zpincus@stanford.edu> wrote:
>
>
> So we are left with the current behavior:
> (a) M[i,:] is a matrix.
> (b) M[i] is a matrix.
> (c) Iteration over M yields matrices.
>
>
I find it useful if M[i] indexes the matrix interpreted as a column-vector
(vec(M), or M(:) in
Matlab notation), e.g., you could pick out the diagonal as M[::n+1], or
if N is an index-set
of certain elements in M, then you could access those elements as M[N].
Then I would also say that iterating over a matrix should just return the
elements of vec(M) one by
one.
In general, I think the Matlab notation works well:
* M[I,J] where I and J and index-sets returns a len(I) x len(J) matrix
* M[I] returns a len(I) vector (a column or row vector depending on
orientation of I)
The index-sets could be a single integer, a list, or a slice.
But I can see there are good arguments for using the NumPy conventions as
well...
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