Delete repeated row in matrix

I have a matrix A that has n x 3 dimension.
Assume
A = [1 1 1; 2 2 2 ; 3 3 3; 1 1 1; 4 4 4]
as you see that the first row and the 4th row are repeated. I want to delete one of them without leaving a blank on that row.
And what if row 1 and row 4 are similar
A = [1 1 1; 2 2 2 ; 3 3 3; 1.1 1.1 1.1; 4 4 4]
I also want to delete one of them or average row 1 and row 4 then remove row 1 and row 4. Then replace the average in any row so that I would have 4 x 3 matrix.
Anybody knows how to do it? Thanks

 Accepted Answer

I think what you are looking for is the function "unique". Try using:
B = unique(A,'rows')
That will delete repeated rows in matrix A, hence the parameter 'rows'. Regarding your second question, I don't think there's a function for that exactly but you can simply average both rows and store them in a new vector X. Then create a new matrix C using the new vector X and the rows you want from your original matrix A. If I wanted to delete for example the fourth row in your last matrix A I would do:
A = [A(1:3,:);A(5,:)]
Hope that helps.

4 Comments

Assume we do not know which row is repeated? then how do i do it?
I believe there is no defined MATLAB function for that, you would have to make the algorithm itself. What comes to my mind in order to trick the "unique" function in your case would be to do:
A = round(A)
B = unique(A,'rows')
That way, the 4th row that was 1.1 would become 1, just like in your first example and the unique function would get the job done.
Hi, I have a similar issue. But I do not want to change the order of rows. When I use unique the order of rows changes.
to not change the order try use command 'stable' when applying unique command

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More Answers (1)

amia djamila
amia djamila on 26 Jun 2019
Hi,
Excuse me for my comment ,i have question if you can help me please, i have a tible of (1332*21) and i have some lines witch repeat ,i want to delte it i do'nt knew how i can do i it's so large that i can't check wher or how it repeat ,please help me
thank's

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on 11 Jul 2013

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