You're probably right. Well it would most definitely be useful for all
the lads in my lab, but I am not sure this is a broad audience. The use
case is when you have a array representing data in an "mgrid" way, and
you wnat to apply transformations to the coordinates. It is something I
have done and
Gael Varoquaux schrieb:
> Hi all,
>
> I didn't get any answers to this email. Is it because the proposed
> addition to numpy is not of any interest to anybody apart from me ?
> Maybe the way I introduced this is wrong. Please tell me what is wrong
> with this proposition.
>
Well you didn't m
Hi all,
I didn't get any answers to this email. Is it because the proposed
addition to numpy is not of any interest to anybody apart from me ?
Maybe the way I introduced this is wrong. Please tell me what is wrong
with this proposition.
Regards,
Gaël
On Fri, Oct 20, 2006 at 01:28:52PM +0200
Hi,
There is an operation I do a lot, I would call it "unrolling" a array.
The best way to describe it is probably to give the code:
def unroll(M):
""" Flattens the array M and returns a 2D array with the first columns
being the indices of M, and the last column the flatten M.
""
