How can i divide the data in rows in MATLAB
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hello everyone, i hope you are doing well.
I have dataset of shape 4x4000;
i want to divide the data in rows like each row contain 1000 samples not 4000
so output shape is 16x1000
how can i do it in matlab
Accepted Answer
The solution is very simple: use TRANSPOSE, RESHAPE, TRANSPOSE.
Why is TRANSPOSE required? Because of the order that arrays are stored in memory: along the 1st dimension, then along the 2nd dimension, etc. You want to keep the 2nd dimension data together, so the order of the data must be changed in memory for that data to be along the 1st dimension.
S = load('newdata.mat');
dataset = S.dataset
M = reshape(dataset.',1000,16).'
3 Comments
Med Future
on 2 Mar 2022
Med Future
on 2 Mar 2022
What is the expected output size?
Assuming that there are always four rows in the input data:
S = load('datset.mat');
dataset = S.dataset
M = reshape(dataset.',[],16).'
Or a general solution for any number of input rows, where each row is split into four:
N = size(dataset,1) * 4;
M = reshape(dataset.',[],N).'
More Answers (1)
Arif Hoq
on 2 Mar 2022
use reshape function
A=load('newdata.mat');
dataset=A.dataset;
output=reshape(dataset,16,[]);
8 Comments
Med Future
on 2 Mar 2022
Arif Hoq
on 2 Mar 2022
try this one:
output=reshape(dataset,4,1000,[]);
Med Future
on 2 Mar 2022
Arif Hoq
on 2 Mar 2022
is that ?
output=reshape(dataset,16,1,[]);
Med Future
on 2 Mar 2022
Johan
on 2 Mar 2022
If you want to concatenate row by row then you can use:
res = [];
for i = 1:size(dataset,1)
res = [res;reshape(dataset(i,:),[],1000)];
end
Stephen23
on 2 Mar 2022
Ugh, do NOT concatenate row-by-row! That is an inefficient and complex approach.
Johan
on 2 Mar 2022
I did not think you could do that with transpose, thanks for the correction
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