But asmatrix returns a matrix object and any subsequent operation of it returns a matrix. What I am thinking about is a convenient way to apply matrix operation on an array.
BTW, A matrix is just a rank 2 tensor, so matrix (tensor) algebra can be applied to an arbitrary rank tensor, for example APL's . operator. Nadav. -----הודעה מקורית----- מאת: [EMAIL PROTECTED] בשם Alan G Isaac נשלח: ו 21-מרץ-08 16:23 אל: Discussion of Numerical Python נושא: Re: [Numpy-discussion] matrices in 1.1 On Fri, 21 Mar 2008, Nadav Horesh apparently wrote: > I would like to see a unification of matrices and arrays. > I often do calculation which involve both array processing > and linear algebra, and the current solution of having > function like dot and inv is not aesthetic. Switching > between array and matrix types (or using .A attribute of > a matrix) is not convinient either. Use ``asmatrix``. (Does not copy.) After that the only needed "unification" I have encountered is that iteration over a matrix should return arrays (not matrices). I believe this is under consideration for 1.1. Cheers, Alan Isaac _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
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