Removing adjacent duplicate numbers in rows of a matrix
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Hi,
assume the following matrix format:
xx=[1 2 3 3 4 4; 1 1 2 2 3 3 ; 5 5 5 3 3 2]
I want to remove the adjacent duplicate numbers in each row of this matrix so I get the following output:
result=[1 2 3 4; 1 2 3 ; 5 3 2]
Help would be very much appreciated with a formula. Thanks.
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回答 (2 件)
infinity
2019 年 6 月 21 日
Hello,
In your problem, you may get error since your result is not a matrix (number of colume of the first row is different with other rows).
So, you result should be a cell like this
clear
xx=[1 2 3 3 4 4; 1 1 2 2 3 3 ; 5 5 5 3 3 2]
for i = 1:size(xx,1)
yy{i} = unique(xx(i,:));
end
12 件のコメント
infinity
2019 年 6 月 23 日
Hello,
You can modify the code like this
clear
% xx=[1 2 3 3 4 4; 1 1 2 2 3 3 ; 5 5 5 3 3 2]
% xx=[1 2 3 3 4 4; 1 1 2 2 3 3 ; 5 4 5 3 3 2]
xx=[1 2 3 3 4 4 3; 1 1 2 2 3 3 2; 5 5 5 3 3 2 5]
% xx=[1 2 3 3 4 4 3 3; 1 1 2 2 3 3 2 3; 5 5 5 3 3 2 5 5]
n = size(xx,2);
% yy = 0*xx;
yy=NaN(size(xx));
for i = 1:size(xx,1)
[temp,ia,ib] = unique(xx(i,:),'stable');
f = diff(ib)~=0;
idx = [find(f);length(ib)];
% yy(i,1:length(temp)) = temp;
yy(i,1:length(idx)) = xx(i,idx);
end
yy
Rik
2019 年 6 月 22 日
You can use diff to find any repeats and remove them. The compare to eps is to avoid strange things happening once you put in decimal numbers, which can lead to rounding errors, which is why exp(log(3))==3 returns false.
xx=[1 2 3 3 4 4 3; 1 1 2 2 3 3 2; 5 5 5 3 3 2 5];
yy=NaN(size(xx));
for row = 1:size(xx,1)
temp = xx(row,:);
%keep values that are different from the one before
%L=[true diff(temp)~=0];%line below is safe for float rounding
L=[true abs(diff(temp))>=(2*eps)];
yy(row,1:sum(L)) = temp(L);
end
%remove trailing NaN cols:
while all(isnan(yy(:,end)))
yy(:,end)=[];
end
disp(yy)
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