Compare some parts from one row in two matrices

조회 수: 2(최근 30일)
Hello, I have two matrices, one is
K=[1 4 2 0 1;1 4 0 0 1;2 4 0 0 1;2 4 3 0 1;5 4 2 0 2];
the other is
L=[1 4 0 0 1; 2 4 0 0 1; 4 2 0 0 2].
I want to do somethings:
  1. get one row from L in a loop;
  2. extract the first column and the last column of this row;
  3. compare the extracted number with the related location in every row of K;
  4. If the numbers are matched, get the index from K.Can anyone help me how to do that, please?Thanks in advance.
  댓글 수: 7
Clémentine OU
Clémentine OU 2017년 8월 30일
I have extracted the first column and the last column of every row in L. I want to compare whether they are matched with the first column and the last column of every row in K. Is it more clear?

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채택된 답변

José-Luis 2017년 8월 30일
K_sub = K(:,[1,end]);
L_sub = L(:,[1,end])
[ii,kk] = size(L_sub);
result = squeeze(sum(bsxfun(@eq,K_sub,L_sub),2) == 2)
Where each column will be a logical index to where your condition is true.
  댓글 수: 2
José-Luis 2017년 8월 31일
편집: José-Luis 2017년 8월 31일
You don't need mm. You still need to perform the sum along the second dimension.
K_sub = K(:,[1,2,end])
L_sub = L(:,[1,2,end])
[ii,kk] = size(L_sub)
result = squeeze(sum(bsxfun(@eq,K_sub,L_sub),2) == 3)
Please accept the answer that best solves your problem.
As an exercise, you could try to adapt it so you can specify the column indexes instead of hardcoding them.

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추가 답변(1개)

Jan 2017년 8월 30일
K = [1 4 2 0 1;1 4 0 0 1;2 4 0 0 1;2 4 3 0 1;5 4 2 0 2];
L = [1 4 0 0 1; 2 4 0 0 1; 4 2 0 0 2];
[match, locK] = ismember(L(:, [1,end]), K(:, [1,end]), 'rows')
Result = locK(match);
  댓글 수: 9
Clémentine OU
Clémentine OU 2017년 9월 1일
편집: Clémentine OU 2017년 9월 1일
@Jan Simon: Oh,thank you for your explanation. I'm a researcher. What I posted is just an issue in a part of my code. I tried to modify your code to show my meaning. Please see as follows:
Q1n=K(:, [1,2,end])
L1n=L(:, [1,2,end])
for i=1:nbL1n
for j=1:nbQ1n
[match, locK] = ismember(l,q,'rows')
Then I could find the elements at 1st,2nd and 5th columns in every row of L whether they are included in P. But the problems coded in this way are that I can't get the exact indices from P. Because I want to extract all lines from P when the condition is true. Then I don't really understand why you add this syntax 'Result = locK(match)'. I can't see how it works. As for using 'ismember('rows')', you are right that it's a more direct way to solve my problem. But LocK can only get the lowest index in Q1n. I want to get all indices when match=1. I'm not sure that 'ismember('rows')' can make it true.

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