2009/5/4 Neal Becker :
> Turns out that if A is an np.array and B is an np.array, then
> A[B] will do exactly what I wanted.
>
> Is this mentioned anywhere in the documentation?
http://docs.scipy.org/numpy/docs/numpy-docs/reference/arrays.indexing.rst/#arrays-indexing
Stéfan
_
Neal Becker wrote:
> Suggestion for efficient way to apply a table lookup to each element of an
> integer array?
>
> import numpy as np
> _cos = np.empty ((2**rom_in_bits,), dtype=int)
> _sin = np.empty ((2**rom_in_bits,), dtype=int)
> for address in xrange (2**12):
> _cos[address] = nint ((2
Suggestion for efficient way to apply a table lookup to each element of an
integer array?
import numpy as np
_cos = np.empty ((2**rom_in_bits,), dtype=int)
_sin = np.empty ((2**rom_in_bits,), dtype=int)
for address in xrange (2**12):
_cos[address] = nint ((2.0**(rom_out_bits-1)-1) * cos (2 *
