On Thu, Aug 19, 2010 at 9:01 AM, greg whittier <[email protected]> wrote:
> I frequently deal with 3D data and would like to sum (or find the > mean, etc.) over the last two axes. I.e. sum a[i,j,k] over j and k. > I find using .sum() really convenient for 2d arrays but end up > reshaping 2d arrays to do this. I know there has to be a more > convenient way. Here's what I'm doing > > a = np.arange(27).reshape(3,3,3) > > # sum over axis 1 and 2 > result = a.reshape((a.shape[0], a.shape[1]*a.shape[2])).sum(axis=1) > > Is there a cleaner way to do this? I'm sure I'm missing something obvious. > > Thanks, > Greg > Using two sums np.sum(np.sum(a, axis=-2), axis=1) -- Gökhan
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