On Thu, May 20, 2021 at 9:47 AM Neal Becker email@example.com wrote:
This seems like something that can be done with indexing, but I haven't found the solution.
out is a 2D array is initialized to zeros. x is a 1D array whose values correspond to the columns of out. For each row in out, set out[row,x[row]] = 1. Here is working code: def orthogonal_mod (x, nbits): out = np.zeros ((len(x), 1<<nbits), dtype=complex) for e in range (len (x)): out[e,x[e]] = 1 return out
Any idea to do this without an explicit python loop?
i = np.arange(len(x)) j = x[i] out[i, j] = 1