Hi,
I would like to vectorize the next computation:
nx, ny, nz = 720, 180, 3
outheight = np.arange(nz) * 3
oro = np.arange(nx * ny).reshape((nx, ny))
def compute1(outheight, oro):
result = np.zeros((nx, ny, nz))
for ix in range(nx):
for iz in range(nz):
result[ix, :, iz] = outheight[iz] + oro[ix, :]
return result
I think this should be possible by using an advanced use of broadcasting in
numpy. Anyone willing to post a solution?
Thanks,
--
Francesc Alted
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