Hi, Bob,

Thanks for your help.

I am sorry for my type error. qam array is the X array in my example.

cntl is a complex array contains the point (x,y) axises.

I will try to make a workable example. Also I will try to find out the zeros_like function. However, I guess that zeros_like(X) will create an array the same size as X. It it is. Then the two line Out=X and error=X should be Out=zeros_like(X) and error=zeros(X).

Also, can where command handel the logic command?

aa = np.where((real(X)<real(cnstl[j])+1) & (real(X)>real(cnstl[j])-1) & (imag(X)<imag(cnstl[j])+1) & (imag(X)>imag(cnstl[j]-1))

For example, cntl[j]=3+1j*5, then the where command is the same as:

aa = np.where((real(X)<4) & (real(X)>2 )& (imag(X)<6) & (imag(X)>4))

Thanks

Frank

> Date: Thu, 29 Jan 2009 00:15:48 -0600
> From: robert.kern@gmail.com
> To: numpy-discussion@scipy.org
> Subject: Re: [Numpy-discussion] help on fast slicing on a grid
>
> On Thu, Jan 29, 2009 at 00:09, frank wang <f.yw@hotmail.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[j].
>
> 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) &
> > (imag(X)>imag(cnstl[j]-1))
> > Out[aa]=cnstl[j]
> > 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?
>
> --
> Robert Kern
>
> "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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