I didn't realize the x's and y's were varying the first time around. There's probably a way to omit it, but I think the conceptually simplest way is probably what you had to begin with. Build an index by saying i = numpy.arange(0, t.shape[0])
then you can do t[i, x,y]
On Mon, Nov 22, 2010 at 11:08 AM, Christopher Barker Chris.Barker@noaa.gov wrote:
On 11/21/10 11:37 AM, Ernest Adrogué wrote:
so you want
t[:,x,y]
I tried that, but it's not the same:
In [307]: t[[0,1],x,y] Out[307]: array([1, 7])
In [308]: t[:,x,y] Out[308]: array([[1, 3], [5, 7]])
what is your t? Here's my example, which I think matches what you asked for:
In [1]: import numpy as np
In [2]: a = np.arange(12)
In [3]: a.shape = (3,2,2)
In [4]: a Out[4]: array([[[ 0, 1], [ 2, 3]],
[[ 4, 5], [ 6, 7]],
[[ 8, 9], [10, 11]]])
In [5]: a[:,1,0] Out[5]: array([ 2, 6, 10])
-- Christopher Barker, Ph.D. Oceanographer
Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception
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