[Numpy-discussion] help on fast slicing on a grid
Thu Jan 29 00:15:48 CST 2009
On Thu, Jan 29, 2009 at 00:09, frank wang <email@example.com> wrote:
> Here is the for loop that I am think about. Also, I do not know whether the
> where commands can handle the complicated logic.
> The where command basically find the data in the square around the point
cnstl is a 2D array from your previous description.
> Let the data array is qam with size N
I don't see qam anywhere. Did you mean X?
> Out = X
> error = X
Don't you want something like zeros_like(X) for these?
> for i in arange(N):
> for j in arange(L):
> aa = np.where((real(X)<real(cnstl[j])+1) &
> (real(X)>real(cnstl[j])-1) & (imag(X)<imag(cnstl[j])+1) &
> error[aa]=abs(X)**2 - abs(cnstl[j])**2
I'm still confused. Can you show me a complete, working script with
possibly fake data?
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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