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 <[email protected]> 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 > > [email protected] > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
