On Fri, Sep 16, 2011 at 10:18 AM, Benjamin Landenberger <
[email protected]> wrote:
> Hello list!
>
> I have an array *mask* of shape (a, b) and another array *intensities*
> of shape (N, a, b), where the values in *mask* range from 0 to N-1. It
> is somehow similar to label arrays in scipy.ndimage.
>
> Now I want to pick those entries from the first dimension of
> *intensities* which are given by *mask*. The returned array shall again
> wave shape (a, b).
>
> Can this be done with fancy indexing?
>
The choose() function can be used:
In [19]: intensities
Out[19]:
array([[[ 1, 2, 3],
[ 4, 5, 6],
[ 7, 8, 9]],
[[11, 12, 13],
[14, 15, 16],
[17, 18, 19]],
[[21, 22, 23],
[24, 25, 26],
[27, 28, 29]]])
In [20]: mask
Out[20]:
array([[0, 0, 1],
[1, 1, 1],
[1, 2, 2]])
In [21]: choose(mask, intensities)
Out[21]:
array([[ 1, 2, 13],
[14, 15, 16],
[17, 28, 29]])
Warren
> Thank you,
>
> Ben
>
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