[Numpy-discussion] numpy where function on different size

[Siegfried Gonzi]

> Message: 6
> Date: Sat, 24 Nov 2012 20:36:45 +0000
> From: Siegfried Gonzi <sgonzi@staffmail.ed.ac.uk>
> Subject: [Numpy-discussion] numpy where function on different size
> Hi all
>This must have been answered in the past but my google search 
> capabilities are not the best.
>Given an array A say of dimension 40x60 and given another array/vector B 
> of dimension 20 (the values in B occur only once).
>What I would like to do is the following which of course does not work 
> (by the way doesn't work in IDL either):
>indx=where(A == B)
>I understand A and B are both of different dimensions. So my question: 
> what would the fastest or proper way to accomplish this (I found a 
> solution but think is rather awkward and not very scipy/numpy-tonic 
> tough).


I should clarify: where(A==B, C, A) 

C is of equal dimension than B. Basically: everywhere where A equals e.g. B[0] replace by C[0]; or where B[4] equals A replace very occurence in A by C[4].


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