Replace zero in a matrix with value in previous row
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Hi,
Can you please help me on how can I replace all zeroes in a matrix with the value in previous row?
e.g. if value in row 3 column 4 is 0, it should pick value in row 2 column 4.
I can do it using a for loop but I dont want to use that.
Thanks.
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Più risposte (5)
Shivaputra Narke
il 1 Feb 2014
1 voto
Now answer to your comment...
while(all(a(:))) a(find(a==0))=a(find(a==0)-1) end
3 Commenti
Mohit
il 1 Feb 2014
Captain Karnage
il 2 Dic 2022
That expression doesn't work as written in a single line. Without a ; after the assignment, it gets an error 'Error: Illegal use of reserved keyword "end".` If I add the ; however, it doesn't error but it still doesn't work. I'm not sure why, because logically it seems like it should, but I just get the original a out when I run it.
The loop is never entered at all. You could make some modifications.
a = [0 5 9 13; 2 6 0 0; 3 0 0 15; 0 8 12 16]
na = numel(a);
while ~all(a(:)) % loop runs until there are no zeros
idx = find(a==0);
a(idx) = a(mod(idx-2,na)+1);
end
a
The redundant find() can be removed. Since this is based on decrementing the linear indices, this will fill zeros at the top of a column with content from the bottom of the prior column. Using mod() allows the wrapping behavior to extend across the ends of the array. Note that a(1,1) is filled from a(16,16).
Whether this wrapping behavior is intended or acceptable is a matter for the reader to decide.
Andrei Bobrov
il 1 Feb 2014
l = A == 0;
ii = bsxfun(@plus,size(A,1)*(0:size(A,2)-1),cumsum(~l));
out = A;
out(l) = A(ii(l));
Shivaputra Narke
il 1 Feb 2014
0 voti
May be this code can help...
% where a is your matrix a(find(a==0))=a(find(a==0)-1)
Paul
il 1 Feb 2014
idx=find(A==0)
A(idx)=A(idx-1)
3 Commenti
Amit
il 1 Feb 2014
This solution is similar to what Shivaputra posted. This solution will also fail. find(A==0) give linear indexing. Imaging that you have first row with some values 0. This approach will fill up those first row values with a value too.
Try these solution for a matrix like:
A = [1 0 0;2 1 0;2 3 1]
Shivaputra Narke
il 1 Feb 2014
Thank you Amit. My solution wont work on such scenarios.
Mohit
il 1 Feb 2014
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