[Numpy-discussion] suggestions for Matrix-related changes
oliphant at ee.byu.edu
Tue Jul 11 18:41:55 CDT 2006
>Hello. For what its worth, as a newly ex-matlab user I would like to make a few
>suggestions on use of matrices in numpy. As per earlier discussions, I like the
>idea of being able to choose matrices as the default (vs arrays). But if
>possible, it would be nice if all functions etc that took matrices also returned
>matrices. I know effort has been made on this. Here are my suggestions:
>1) is it possible to get the function unique() to work with matrices, perhaps
>with a unique_rows() function to work with matrices of more than one column?
>2) It would be very convienient to have some simple way to delete selected
>columns of a matrix.
This is a good idea. It would be nice to address it at some point.
There is a Python syntax for it, but we are not using it yet:
Of course one of the problems with this syntax (as opposed to a function
that returns a new array) is that because X can share it's data with
other arrays, you can't just re-size it's memory or other arrays
depending on that chunk of memory will be in deep trouble.
So, we are probably not going to be able to have a "syntax-style" delete.
But, some kind of function that returns an array with specific entries
deleted would be nice.
>3) It would be nice if matrices could be used for iterations. For example, if M
>was a 1 x n matrix, it would be nice to be able to use: for i in M: and
>iterate over the individual items in M.
They can be used as iterators. The problem here is simply convention
(rows are iterated over first). We could over-ride the iterator
behavior of matrices, though to handle 1xn and nx1 matrices identically
if that is desirable.
>4) It would be nice if the linear algebra package and other packages returned
>matrices if given matrices. For example, if M is a matrix, svd(M) now returns
Svd returns matrices now. Except for the list of singular values which
is still an array. Do you want a 1xn matrix instead of an array?
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