Find the rows of a matrix A within another matrix B

2 vues (au cours des 30 derniers jours)
Alberto Acri
Alberto Acri le 19 Juil 2023
Modifié(e) : Bruno Luong le 19 Juil 2023
Hi. I need to find the rows of matrix A (106x2) inside matrix B (172x2).
Matrix A should contain the values of all rows within B. Therefore, initially, I would like to know if there is a way to understand if all matrix A is contained in matrix B.
My goal, however, is to create a new matrix B ('B_new') characterized by '0's in the case where a row of A coincides with a row of B.
I explain this better with this image:
There is probably a more effective method than what I have written, like using the 'find' command.
At the moment I am using this code:
A = importdata("matrix_int.mat");
B = importdata("matrix_ext.mat");
B_new = {};
for K = 1:length(A)
row_A = A(K,:);
for K1 = 1:length(B)
row_B = B(K1,:);
if row_A == row_B
row_B = [0,0];
end
B_new = [B_new;{row_B}];
end
end

Réponse acceptée

Bruno Luong
Bruno Luong le 19 Juil 2023
Modifié(e) : Bruno Luong le 19 Juil 2023
Use ismember command with 'row' option
% Generate some dymmy date for testing
B=randi(4,10,2)
B = 10×2
1 4 4 4 3 2 4 2 4 3 3 2 1 4 2 1 2 2 2 4
A=randi(4,10,2)
A = 10×2
1 4 2 3 4 2 2 3 1 1 1 1 2 2 1 2 1 4 4 3
% Engine
B_new = B;
B_new(ismember(B,A,'row'),:) = 0;
% Check the result
B_new
B_new = 10×2
0 0 4 4 3 2 0 0 0 0 3 2 0 0 2 1 0 0 2 4

Plus de réponses (1)

Katy Weihrich
Katy Weihrich le 19 Juil 2023
%% example data generation
A = rand(10,2);
B = [rand(2,2); A(1:2,:); rand(2,2); A(5:7,:); rand(2,2); A(3:4,:); rand(2,2); A(1:2,:)];
% note:
%% prep dataoutput
B_new = B;
%% seach for overlaps between A & B rows
% intersect will not obly give you the similarities between the arrays, but
% also the first (!) instance of them overlapping
[~,ia,ib] = intersect(A,B,'rows');
%% set oerlap to 0 in the dataoutput
B_new(ib,:) = 0;
% note: since intersept only gives you the first occurence, if a row in A
% repeatetly occures in B there will some missed rows
%% repeat untill all overlaps are identified
B_prev = B;
while ~all(all(B_prev == B_new))
B_prev = B_new; %
[~,ia,ib] = intersect(A,B_new,'rows');
B_new(ib,:) = 0;
end

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