On 02/13/2015 11:51 AM, Francesc Alted wrote: > 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?
result = outheight + oro.reshape(nx, ny, 1) _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
