Row Sorting of Matrices
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Viktor Edlund
le 25 Jan 2019
Modifié(e) : Stephen23
le 15 Fév 2019
Hi!
Im trying to sort the rows of this matrix in decreacing order with all rows with entries containing zeros (in the first nonzero coloum) gathered at the bottom. By using sortrows(A) im able to sort the rows in decreacing order but have no success in gathering the zero rows in the bottom of the matrix.
I hope this clarifies what i mean.
A =
0 2 4
0 1 6
0 0 5
>> sortrows(A)
ans =
0 0 5
0 1 6
0 2 4
But i want the matrix to be sorted in this way. Shown below.
A=
0 1 6
0 2 4
0 0 5
Im Seeking a generall solution, this matrix is just an example
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Stephen23
le 25 Jan 2019
>> A = [0,2,4;0,1,6;0,0,5]
A =
0 2 4
0 1 6
0 0 5
>> [~,idx] = sortrows([sum(A==0,2),A]);
>> B = A(idx,:)
B =
0 1 6
0 2 4
0 0 5
3 commentaires
Stephen23
le 26 Jan 2019
Modifié(e) : Stephen23
le 15 Fév 2019
@Viktor Edlund: What I noticed is that you basically want to treat zero as being larger than all other numbers. This leads to two obvious possible solutions:
- create a copy of your matrix, change zero to Inf or NaN, then sort.
- add a leading column with a count of how many zeros per row, then sort.
For your simple example they will return the same output, but for more complex matrices with zeros distributed throughout, they could return different results. It is up to you to know/decide what algorithm is suitable for your data.
In any case, I picked 2. because it is simple to implement on one line. Here it is broken down into the main operations:
>> A = [0,2,4;0,1,6;0,0,5] % your data matrix.
A =
0 2 4
0 1 6
0 0 5
>> cnt = sum(A==0,2) % count the zeros in each row.
cnt =
1
1
2
>> mat = [cnt,A] % new matrix, first column is zeros count.
mat =
1 0 2 4
1 0 1 6
2 0 0 5
>> [~,idx] = sortrows(mat) % sort rows of new matrix, get sort index.
idx =
2
1
3
>> B = A(idx,:) % use index to sort original data matrix.
B =
0 1 6
0 2 4
0 0 5
Solution 1. could be implemented like this:
>> idx = A==0;
>> B = A;
>> B(idx) = Inf;
>> [B,idy] = sortrows(B);
>> B(idx(idy,:)) = 0
B =
0 1 6
0 2 4
0 0 5
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