This question already has answers here:
MATLAB: how to pass in the diagonal of a matrix as an argument in another matrix?
(2 answers)
Closed 6 years ago.
I have a matrix
A = repmat(1:7,7,1);
I have index vectors
idx1 = [1 3 5];
idx2 = [1 3 5];
I want to access A at the 2d coordinates denoted by idx1(i),idx2(i).
When I do
A(idx1,idx2) = 0;
I get for each element in idx 1, all the elements in idx2 as well.
I want only the corresponding elements to be assigned the zero value.
Again: I get
A =
0 2 0 4 0 6 7
1 2 3 4 5 6 7
0 2 0 4 0 6 7
1 2 3 4 5 6 7
0 2 0 4 0 6 7
1 2 3 4 5 6 7
1 2 3 4 5 6 7
but I want
A =
0 2 3 4 5 6 7
1 2 3 4 5 6 7
1 2 0 4 5 6 7
1 2 3 4 5 6 7
1 2 3 4 0 6 7
1 2 3 4 5 6 7
1 2 3 4 5 6 7
How to achieve this?
Thanks
The easiest way is probably to use sub2ind to generate the linear indices needed to index into A:
linear_ind = sub2ind(size(A),idx1,idx2);
A(linear_ind) = 0;
Related
This question already has answers here:
Replicate matrix one row at a time [duplicate]
(2 answers)
Closed 6 years ago.
I need to enlarge a matrix A to a matrix B with size n times the size of A. The values must be repeated, eg:
A size 2x3, n = 3, leads to B size 6x9:
Sample values:
A =
1 2 3
4 5 6
Results with:
B =
1 1 1 2 2 2 3 3 3
1 1 1 2 2 2 3 3 3
1 1 1 2 2 2 3 3 3
4 4 4 5 5 5 6 6 6
4 4 4 5 5 5 6 6 6
4 4 4 5 5 5 6 6 6
What is the fastest way to achieve that in Matlab?
There is also the Kronecker Tensor Product (kron) function:
n = 3;
B = kron(A,ones(n));
B =
1 1 1 2 2 2 3 3 3
1 1 1 2 2 2 3 3 3
1 1 1 2 2 2 3 3 3
4 4 4 5 5 5 6 6 6
4 4 4 5 5 5 6 6 6
4 4 4 5 5 5 6 6 6
If you have the Image Processing Toolbox you can easily do this using imresize with nearest neighbor interpolation.
A = [1 2 3; 4 5 6];
% Repeat each element 3 times in each direction
B = imresize(A, 3, 'nearest');
% 1 1 1 2 2 2 3 3 3
% 1 1 1 2 2 2 3 3 3
% 1 1 1 2 2 2 3 3 3
% 4 4 4 5 5 5 6 6 6
% 4 4 4 5 5 5 6 6 6
% 4 4 4 5 5 5 6 6 6
If you don't have the Image Processing Toolbox, you can use interp2 with nearest neighbor interpolation to do something similar.
scaleFactor = 3;
[xx,yy] = meshgrid(linspace(1, size(A, 2), size(A, 2) * scaleFactor), ...
linspace(1, size(A, 1), size(A, 1) * scaleFactor));
B = interp2(A, xx, yy, 'nearest');
I have two different arrays. I want to make them similar. For example
If difference between coordinates of two array is 1 then it will make it similar otherwise not.It would be nice If anybody help me out.
Let
A =
1 5
2 6
3 7
4 8
5 9
6 1
7 2
and
B =
2 6
3 7
4 8
5 9
7 1
8 2
7 5
ismember() will give you all the indices which have difference equal to 1
ismember(B-A,1)
ans =
1 1
1 1
1 1
1 1
0 0
0 1
0 0
and then
>> B(ismember(B-A,1)) = A(ismember(B-A,1))
B =
1 5
2 6
3 7
4 8
7 1
8 1
7 5
as you can see replaces all the values in B which have difference equal to 1 as B
I have a matrix like this one:
8
8
8
2
2
2
6
6
7
7
7
1
1
6
6
6
6
8
8
0
6
8
8
1
6
6
There are fixed patterns that always repeat. I would like to detect them. They repeat according to these rules:
Lines with 7 followed by lines with a number which can be (0, 1 or 2), followed by a 6
Lines with 8 followed by lines with a number which can be (0, 1 or 2), followed by a 6
For each one of the values on a single pattern detected (independently from the number of lines they are composed of), write in a second column a number of rank, starting from 1 and incrementing each time a new pattern in column one is detected. This would be the result:
8 1
8 1
8 1
2 1
2 1
2 1
6 1
6 1
7 2
7 2
7 2
1 2
1 2
6 2
6 2
6 2
6 2
8 3
8 3
0 3
6 3
8 4
8 4
1 4
6 4
6 4
Column 2 encodes in each line the first pattern (series of values = 1 meaning that on this line there is data related to patter 1), the second pattern (values 2) and so on...
How can I do that?
Here's a solution that only uses the "closing tags" to split the matrix into parts:
function b = replaceValues(a)
closingTag = 6;
% Find all closing tag positions
clTagPos = a(:, 1) == closingTag;
% Keep only the "last" tags and add matrix start/end positions
splitPoints = [0; find(diff(clTagPos) == -1); length(a)];
% Split matrix into cell array
acell = mat2cell(a, diff(splitPoints));
% Replace the second column of each part with the corresponding non-zero value
bcell = cellfun(#(c)[c(:, 1) ones(length(c), 1)*c(find(c(:, 2), 1), 2)], acell, 'UniformOutput', 0);
% Convert back to matrix
b = cell2mat(bcell);
end
Example input-output in Matlab:
a =
8 0
8 0
8 0
2 1
2 1
2 1
6 0
6 0
7 0
7 0
7 0
1 2
1 2
6 0
6 0
6 0
6 0
8 0
8 0
0 3
6 0
8 0
8 0
1 4
6 0
6 0
>> b = replaceValues(a)
b =
8 1
8 1
8 1
2 1
2 1
2 1
6 1
6 1
7 2
7 2
7 2
1 2
1 2
6 2
6 2
6 2
6 2
8 3
8 3
0 3
6 3
8 4
8 4
1 4
6 4
6 4
I would like to select some numbers in a MATLAB matrix which have values greater than 4 and set them equal to zero.
For example:
A=[5 6 1 3 4 9 2 8 3];
Now, replace all values greater than 4 with zeros and store as a new matrix A1:
A1=[0 0 1 3 4 0 2 0 3];
You might want to try something like this:
A(A>4)=0
Here it is:
>> A=[5 6 1 3 4 9 2 8 3]
A =
5 6 1 3 4 9 2 8 3
>> A(A>4)=0
A =
0 0 1 3 4 0 2 0 3
I have some matrix :
A = [ 1 2 3 4 5 6;
1 2 3 4 5 6]
B = [ 6 5 4 3 2 1;
6 5 4 3 2 1]
C = [ 1 2 3 4 5 6;
1 2 3 4 5 6]
what is code to make this following matrix:
Result = [1 2 9 9 10 11 5 5 5 6;
1 2 9 9 10 11 5 5 5 6]
Note : Actually the above matrix is sum of 3 matrix above which had been already rearranged like as the following matrix. #sum is sum which is based on column.
1 2 3 4 5 6
1 2 3 4 5 6
6 5 4 3 2 1
6 5 4 3 2 1
1 2 3 4 5 6
1 2 3 4 5 6
And. I sum first row by first row, and second row by second row.
To do what you say above:
Result = zeros(size(A) + [0,4]);
Result(:,1:size(A,2)) = A;
Result(:,3:end-2) = Result(:,3:end-2) + B;
Result(:,5:end) = Result(:, 5:end) + C;
The point is, you can select a subregion of a matrix, and assign another matrix to it. You just have to make sure both sides of the assignment are the same shape.