Yun Mao wrote:
>a[ [1,0], [0,1] ] , which should give me
>[[4, 5], [1,2]]
Numeric:
take(take(a,[1,0]),[0,1],1)
fwiw,
Alan Isaac
--
http://mail.python.org/mailman/listinfo/python-list
py> import numarray as na
py> a = na.array([[1,2,3],[4,5,6]])
Yun Mao wrote:
Thanks for the help. numarray doesn't provide what I look for either. e.g.
a = array( [[1,2,3],[4,5,6]] )
I sometimes what this: a[ [1,0], :],
py> a[[1,0]]
array([[4, 5, 6],
[1, 2, 3]])
or even a[ [1,0], [0,1] ]
Yun Mao wrote:
>Thanks for the help. numarray doesn't provide what I look for either.
e.g.
>a = array( [[1,2,3],[4,5,6]] )
>I sometimes what this: a[ [1,0], :], or even
>a[ [1,0], [0,1] ] , which should give me
>[[4, 5], [1,2]]
I think Fortran 90 and 95 have the array slicing you want. For examp
Hi all,
Thanks for the help. numarray doesn't provide what I look for either. e.g.
a = array( [[1,2,3],[4,5,6]] )
I sometimes what this: a[ [1,0], :], or even
a[ [1,0], [0,1] ] , which should give me
[[4, 5], [1,2]]
Because I don't really care about arrays with dimension >2, I did a
little h
> "Yun" == Yun Mao <[EMAIL PROTECTED]> writes:
Yun> 2. Is there a way to do Matlab style slicing? e.g. if I have
Yun> i = array([0, 2]) x = array([1.1, 2.2, 3.3, 4.4]) I wish y =
Yun> x(i) would give me [1.1, 3.3] Now I'm using map, but it gets
Yun> a little annoying when there
Yun Mao wrote:
>I have some questions when I'm using python numeric:
>1. When I do v = u[:, :], it seems u and v still point to the same
>memory. e.g. When I do v[1,1]=0, u[1,1] will be zero out as well.
>What's the right way to duplicate an array? Now I have to do v =
>dot(u, identity(N)), which
Yun Mao wrote:
Hi python gurus,
I have some questions when I'm using python numeric:
1. When I do v = u[:, :], it seems u and v still point to the same
memory. e.g. When I do v[1,1]=0, u[1,1] will be zero out as well.
What's the right way to duplicate an array? Now I have to do v =
dot(u, identi
Hi python gurus,
I have some questions when I'm using python numeric:
1. When I do v = u[:, :], it seems u and v still point to the same
memory. e.g. When I do v[1,1]=0, u[1,1] will be zero out as well.
What's the right way to duplicate an array? Now I have to do v =
dot(u, identity(N)), which
