Effacer les filtres
Effacer les filtres

How to remove repeating rows without unique function?

4 vues (au cours des 30 derniers jours)
Andrew Poissant
Andrew Poissant le 25 Sep 2017
Commenté : Cedric le 26 Sep 2017
I have a 624x2 matrix of ordered pairs, of which there are some repeating rows that I must remove. Is there a way to remove these repeating rows without using the unique function? Maybe using a for loop? The reason I can't use the unique function is because when I implement this matlab script in Simulink's Matlab Function block, the matrix must be sorted first before using the unique function. I can't sort the matrix because I will lose my ordered pairs and sortrows doesn't solve the issue either because I get the same error from Simulink.

Réponse acceptée

Cedric
Cedric le 25 Sep 2017
Modifié(e) : Cedric le 25 Sep 2017
Use the 'stable' option:
>> A = randi( 3, 10, 2 )
A =
2 3
1 1
3 1
3 1
3 1
3 3
3 3
2 1
2 3
1 1
>> unique( A, 'rows' )
ans =
1 1
2 1
2 3
3 1
3 3
>> unique( A, 'rows', 'stable' )
ans =
2 3
1 1
3 1
3 3
2 1
  8 commentaires
Andrew Poissant
Andrew Poissant le 26 Sep 2017
It worked! Thank goodness. Really appreciate all of the help you gave me, you rock!
Cedric
Cedric le 26 Sep 2017
My pleasure. The amount of unsupported features seems to be a real pain, good luck with the rest!

Connectez-vous pour commenter.

Plus de réponses (1)

Jan
Jan le 26 Sep 2017
Modifié(e) : Jan le 26 Sep 2017
I still do not understand, why you cannot simply sort the data. But this might be useful:
!!! UNTESTED !!!
function Data = UniqueRows2(Data)
nRow = size(Data, 1);
keep = true(nRow, 1);
for k1 = 1:nRow
if keep(k1)
for k2 = k1 + 1:nData
if keep(k2)
% For rows of length 2:
keep(k2) = (Data(k2, 1) ~= Data(k1, 1)) | (Data(k2, 2) ~= Data(k1, 2));
% General row length:
% keep(k2) = any(bsxfun(@ne, Data(k2, :), Data(k1, :)), 2);
end
end
end
end
Data = Data(keep, :);
end
This might be faster with vectorization:
function Data = UniqueRows(Data)
nRow = size(Data, 1);
keep = true(nRow, 1);
for k1 = 1:nRow
if keep(k1)
keep(k1 + 1:nData) = and(keep(k1 + 1:nData), ...
any(bsxfun(@ne, Data(k2, :), Data(k1, :)), 2));
end
end
Data = Data(keep, :);
end

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by