Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail
From: Oscar Benjamin <oscar.j.benjamin@gmail.com>
Newsgroups: comp.lang.python
Subject: Re: np.searchSorted over 2D array
Date: Thu, 10 Dec 2015 19:55:31 +0000
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On 10 Dec 2015 14:46, "Heli" <hemla21@gmail.com> wrote:
>
> Thanks Peter,
>
> I will try to explain what I really need.
>
> I have a 3D numpy array of 100*100*100 (1M elements). Then I have another
numpy array of for example 10*2*10 (200 elements). I want to know if in the
bigger dataset of 100*100*100, there is anywhere, where the second numpy
array of 200 elements with shape 10*2*10 appears. If it does, then I want
the indices of the bigger dataset where this happens.
>

So you want to find N in M. First find all occurrences of N[0][0][0] in
M[:90][:98][:90]. Then for each of those extract the same size subview from
M and check if (Ms == N).all().

--
Oscar