Create multiple subtables from multiple .tsv tables
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I have 120 .tsv files (see example example in "sub-m0001_file.tsv"). The path is the same for all the files except in the 9th folder. See the paths for the first two .tsv files below:
/f1/f2/f3/f4/f5/f6/f7/f8/sub-m0001/f10/f11/file.tsv
/f1/f2/f3/f4/f5/f6/f7/f8/sub-m0002/f10/f11/file.tsv
How can I get subtables (i.e., 1 table per file) including only the following six columns: 'trans_x', 'trans_y', 'trans_z', 'rot_x', 'rot_y', 'rot_z'?
The following code does it only for the first .tsv file. Any hint to go recursively over the 120 .tsv files?
mat = dir('/f1/f2/f3/f4/f5/f6/f7/f8/sub-m*/f10/f11/file.tsv');
for files_i = 1:length(mat)
data = fullfile(mat(files_i).name);
x = readtable(data,"FileType","text",'Delimiter', '\t');
vars = {'trans_x' 'trans_y' 'trans_z' 'rot_x' 'rot_y' 'rot_z'};
new_x = x(:,vars);
end
Then, I need to store each file in a folder which filename corresponds to sub-m*. for instance (example sub-m0001_subfile.txt) see:
/new/path/sub-m0001/sub-m0001_subfile.txt
/new/path/sub-m0002/sub-m0002_subfile.txt
Many thanks in advance
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Stephen23
le 29 Jan 2025
Modifié(e) : Stephen23
le 30 Jan 2025
"The following code does it only for the first .tsv file. Any hint to go recursively over the 120 .tsv files? "
There is nothing in your code that in any way stores or saves the data from each iteration, so your code iterates through each file, imports the file data, and then discards/overwrites the file data on the next loop iteration. So in the end it might look as if it only imported data from one file. But looking at the value of files_i would tell you how many files it has iterated over.
Solution: either use indexing to allocate the imported data into one array (e.g. a cell array or structure array) or export the data into files on each iteration.
"I need to store each file in a folder which filename corresponds to sub-m*. for instance (example sub-m0001_subfile.txt) "
Then you need to export the table data. For example:
V = {'trans_x','trans_y','trans_z','rot_x','rot_y','rot_z'};
S = dir('/f1/f2/f3/f4/f5/f6/f7/f8/sub-m*/f10/f11/*file.tsv');
for k = 1:numel(S)
% import file data:
F = fullfile(S(k).folder,S(k).name);
T = readtable(F,"FileType","text",'Delimiter', '\t');
% optional: store imported filedata:
S(k).data = T;
% export table data:
G = extractBefore(S(k).name,'_');
H = fullfile('/new/path',G,[G,'_subfile.txt']);
U = T(:,V);
writetable(U,H)
end
The data is all stored in the structure S. You can access this using indexing, e.g. the 2nd file:
S(2).folder % location
S(2).name % filename
S(2).data % imported file data
6 commentaires
Stephen23
le 30 Jan 2025
Modifié(e) : Stephen23
le 30 Jan 2025
"Issue 2: "E" does not work properly"
Please show the exact path and code that you used. It works as expected here:
P='./f1/f2/f3/f4/f5/f6/f7/f8/sub-m0001/f10/f11'; mkdir(P); dlmwrite(fullfile(P,'file.tsv'),1)
P='./f1/f2/f3/f4/f5/f6/f7/f8/sub-m0002/f10/f11'; mkdir(P); dlmwrite(fullfile(P,'file.tsv'),2)
S = dir('./f1/f2/f3/f4/f5/f6/f7/f8/sub-m*/f10/f11/file.tsv');
for k = 1:numel(S)
E = regexprep(S(k).folder,{'^.*/f8/','/f10/.*$'},'')
end
Which means that you are doing something different to what you explained or showed, e.g. your folder names are not really f1, f2, etc. Guessing important information like this is much less reliable than it being written down.
In any case, here are alternative approaches that might work for your (duplicated?) folder names:
for k = 1:numel(S)
E = regexprep(S(k).folder,{'^.*/f8/','/.*$'},'')
end
for k = 1:numel(S)
E = regexp(S(k).folder,'sub-m\d+','match','once')
end
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