Read multiple .mat files and process them
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Hi,
I wanna read some .mat files with name "sub1_hi.mat" to "sub40_hi.mat" that are 4D matrices and process them.
I did the first step with this code:
for j=1:40
load (['s',num2str(j),'_hi_dDTF.mat'])
end
But, when I wanna try this inner loop I got error for the size and imagesc functions.
for j=1:40
data = load (['s',num2str(j),'_hi_dDTF.mat'])
[chan1, chan2, freq, winNumber] = size(data);
for i=1:winNumber
fig = imagesc(data(:,:,3,i))
filename = ['dDTF_s',num2str(j),'_hi_beta',num2str(i),'.jpg']
saveas(fig, filename)
end
end
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Accepted Answer
Stephen23
on 21 Feb 2023
Edited: Stephen23
on 21 Feb 2023
"As you said in my case the variable's name changes on each iteration of the outer loop."
With changing variable names you will need some complex, fragile code. For example:
for ii = 1:40
F = sprintf('s%d_hi_dDTF.mat',ii);
C = struct2cell(load(F));
assert(isscalar(C),'Only one variable per file!')
data = C{1};
[chan1, chan2, freq, winNumber] = size(data);
for jj = 1:winNumber
fig = imagesc(data(:,:,3,jj));
filename = sprintf('dDTF_s%d_hi_beta%d.jpg',ii,jj);
saveas(fig, filename)
end
end
Better data design would keep the variable names exactly the same on every loop iteration. Then you could write simple, robust code to process that file data. For example, if the variable is always named "data":
for ii = 1:40
F = sprintf('s%d_hi_dDTF.mat',ii);
S = load(F);
[chan1, chan2, freq, winNumber] = size(S.data);
for jj = 1:winNumber
fig = imagesc(S.data(:,:,3,jj));
filename = sprintf('dDTF_s%d_hi_beta%d.jpg',ii,jj);
saveas(fig, filename)
end
end
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More Answers (1)
Walter Roberson
on 20 Feb 2023
The output of load is always a struct that contains one field for each variable that was loaded. Your second code has the right general approach but you need to account for the loaded variable name as a field of data . That is easy enough if the variable name is always the same, but gets a bit messier if the variable names in the files change.
2 Comments
Walter Roberson
on 21 Feb 2023
Use dynamic field names. Compute the name of the variable and use
data.(variablename)
If the variable name is not known then use fieldnames(data)
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