On Mon, Jan 30, 2012 at 10:57 AM, Ted To <rainexpec...@theo.to> wrote:
> Sure thing. To keep it simple suppose I have just a two dimensional
> array (time,output):
> [(1,2),(2,3),(3,4)]
> I would like to look at all values of output for which, for example time==2.
>
> My actual application has a six dimensional array and I'd like to look
> at the contents using one or more of the first three dimensions.
>
> Many thanks,
> Ted
Couldn't you just do something like this with boolean indexing:
In [1]: import numpy as np
In [2]: a = np.array([(1,2),(2,3),(3,4)])
In [3]: a
Out[3]:
array([[1, 2],
[2, 3],
[3, 4]])
In [4]: mask = a[:,0] == 2
In [5]: mask
Out[5]: array([False, True, False], dtype=bool)
In [6]: a[mask,1]
Out[6]: array([3])
~Brett
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