Message: 6 Date: Sat, 24 Nov 2012 20:36:45 +0000 From: Siegfried Gonzi 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]. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.