using find(ismember) instead of a loop?
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I have matrix B which is has around 1 million rows and Matrix A which has 800,000 rows. I want to match the observations of A and B and then assign to A the observations of B that matches. I tried a loop which taking forever in terms of time. I am wondering if I can do it in one shot using find(ismember). below are my codes:
for i=1:size(B,1)
x0=find(A(:,2)==B(i,2) & A(:,1)==B(i,1));
B(i,8)=A(x0,9);
end
2 个评论
I suspect you haven't shown your actual code, making it hard to interpret what you are trying to do. In the posted code, you are comparing columns of A with rows of B which should be producing errors like the following, unless you are using R2016b
>> [1 2 3] == [1;2;3]
Error using ==
Matrix dimensions must agree.
Also, the code you've shown uses only the 1st, 2nd, and 9th column of A. So, why is it significant that "A has 800000 rows"?
wesso Dadoyan
2016-10-4
采纳的回答
Note that the find was completely unnecessary in your original example, you could just have used the logical array returned by the comparison:
x0=A(:,2)==B(i,2) & A(:,1)==B(i,1);
B(i,8)=A(x0,9); %would have worked exactly the same with marginal speed gain.
To answer your question:
[found, Arow] = ismember(B(:, 1:2), A(:, 1:2), 'rows');
B(found, 8) = A(Arow(found), 9);
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