How can I convert a 3D matrix to 2D matrix in the way specified in this post
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Hello, I am new to Matlab and am having a bit of trouble shaping a 3D matrix in a certain way.
For example, I would like to convert 3D matrix M:
val(:,:,1) =
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
val(:,:,2) =
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
val(:,:,3) =
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
into the following 2D matrix:
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
Using reshape I can convert the matrix into a 2D form, however the end result (which I don't want) is similar to this:
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
What is an efficient way to achieve the desired 2D matrix orientation?
EDIT:
While the example above shows val(:,:,1) through val(:,:,3), the script is meant to allow from val(:,:,1) through val(:,:,n) where n can be any number I need it to be.
Additionally, the dimensions of each "val" are 4x5 in this example, but could be any dimension, according to variables specified.
Essentially, I would like an (a,b,c) matrix to become an (a,b) matrix, where the (a,b) sections are stacked in order from 1 to c.
Thank you, and sorry for the lack of clarity in the original question.
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Accepted Answer
Roger Stafford
on 4 Jun 2016
Edited: Roger Stafford
on 4 Jun 2016
result = reshape(permute(val,[1,3,2]),[],size(val,2)); % <-- Corrected
4 Comments
Akash kumar
on 21 Feb 2021
Edited: Akash kumar
on 21 Feb 2021
1.) If you want to add matrix in Vertical direction [Roger stafford:- I support it.]
result = reshape(permute(val,[1,3,2]),[],size(val,2));
2.) If you want to add matrix in Horizontal direction then
M=reshape(A,size_of_the_row,[]) % But size of the each row is equal.
for example:- According to the "Neuro Guy" first post:- each submatrix row size=4
then, M=reshape(A,4,[]); then output is (According to the 2.) point)
1 1 1 1 1 2 2 2 2 2 3 3 3 3 3
1 1 1 1 1 2 2 2 2 2 3 3 3 3 3
1 1 1 1 1 2 2 2 2 2 3 3 3 3 3
1 1 1 1 1 2 2 2 2 2 3 3 3 3 3
(According to the 1.) point):- Output is
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
More Answers (2)
Star Strider
on 4 Jun 2016
This works:
val = cat(3, ones(4,5), ones(4,5)*2, ones(4,5)*3);
val2D = reshape(val, 5, [])'
val2D =
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
2 2 2 2 2
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
3 3 3 3 3
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