# [SciPy-User] indexing question

Paul Hobson pmhobson@gmail....
Fri Jan 25 13:55:35 CST 2013

```On Thu, Jan 24, 2013 at 2:14 PM, Nick Choly <ncholy@gmail.com> wrote:

> I'm fairly new to this, so apologies in advance.
> Let's say I have a 3-d array A[i,j,k] of shape (Ni,Nj,Nk), and a list of
> labels I[k], where I[k] belongs to 0...Ni-1.
> I want to create a new, 2-d array B[j,k] = A[I[k], j, k].
> I've found one solution to this, which is:
> ind_i = np.tile(I, (1,Nj)).T
> ind_j = np.tile(np.arange(Nj), (1,Nk))
> ind_k = np.tile(np.arange(Nk), (1, Nj)).T
> B = A[ind_i, ind_j, ind_k]
>
> there's a simpler, better way?
> Thanks,
> Nick
>

You can use a colon to grab all the elements along a dimension, e.g.,

In [48]: A = np.random.random_integers(0, 5, size=(3,4,4))

In [49]: A

Out[49]:

array([[[5, 3, 5, 5],

[2, 4, 0, 5],

[4, 3, 4, 5],

[1, 4, 0, 1]],

[[1, 1, 5, 1],

[5, 5, 4, 2],

[1, 2, 0, 2],

[1, 0, 3, 5]],

[[1, 4, 4, 4],

[0, 4, 3, 4],

[2, 2, 3, 1],

[0, 1, 0, 0]]])

In [51]: A[1, :, :]

Out[51]:

array([[1, 1, 5, 1],

[5, 5, 4, 2],

[1, 2, 0, 2],

[1, 0, 3, 5]])

In [52]: A[1, 0:2, 1:]

Out[52]:

array([[1, 5, 1],

[5, 4, 2]])

Does that help?

-paul
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