python - Quick way to upsample numpy array by nearest neighbor tiling -


this question has answer here:

i have 2d array of integers mxn, , expand array (bm)x(bn) b length of square tile side each element of input array repeated bxb block in final array. below example nested loop. there quicker/builtin way?

import numpy np  = np.arange(9).reshape([3,3])            # input array - 3x3 b=2.                                       # block size - 2   = np.zeros([a.shape[0]*b,a.shape[1]*b])  # output array - 6x6  # loop, filling tiled values of @ each index i,l in enumerate(a):                   # lines in     j,aij in enumerate(l):             # a[i,j]         a[b*i:b*(i+1),b*j:b*(j+1)] = aij

result ...

a=      [[0 1 2]          [3 4 5]          [6 7 8]]  =     [[ 0.  0.  1.  1.  2.  2.]          [ 0.  0.  1.  1.  2.  2.]          [ 3.  3.  4.  4.  5.  5.]          [ 3.  3.  4.  4.  5.  5.]          [ 6.  6.  7.  7.  8.  8.]          [ 6.  6.  7.  7.  8.  8.]]

one option is

>>> a.repeat(2, axis=0).repeat(2, axis=1) array([[0, 0, 1, 1, 2, 2],        [0, 0, 1, 1, 2, 2],        [3, 3, 4, 4, 5, 5],        [3, 3, 4, 4, 5, 5],        [6, 6, 7, 7, 8, 8],        [6, 6, 7, 7, 8, 8]])

this wasteful due intermediate array it's concise @ least.


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