Determine which cells contain elements of another cell
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I have the following cell aray:
fileNames = [{'.'}, {'..'}, {'1.bin'}, {'1_Report.txt'}, {'2.bin'}, {'2_Report.txt'}, {'3.bin'}, {'3_Report.txt'}, {'4.bin'}];
I want to determine which *.bin files have a cooresponding *.txt file, so the final result would be:
processedFiles = [{'1.bin'}, {'2.bin'}, {'3.bin'}];
or
processedIndex = [3, 5, 7];
This seems like it should be easy but i'm struggling and hoping for some help in the right direction
Mike
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Risposta accettata
Adam Danz
il 25 Apr 2019
Modificato: Adam Danz
il 25 Apr 2019
Here's a simpler solution than my first proposal.
fileNames = [{'.'}, {'..'}, {'1.bin'}, {'1_Report.txt'}, {'2.bin'}, {'2_Report.txt'}, {'3.bin'}, {'3_Report.txt'}, {'4.bin'}];
binNums = regexp([fileNames{contains(fileNames, '.bin')}], '\d+', 'match');
txtNums = regexp([fileNames{contains(fileNames, '_Report.txt')}], '\d+', 'match');
hasMatch = ismember(binNums, txtNums);
processedFiles = strcat(binNums(hasMatch), '.bin'); % = [{'1.bin'}, {'2.bin'}, {'3.bin'}];
processedIndex = find(ismember(fileNames, processedFiles)); % = [3, 5, 7];
Più risposte (2)
Rik
il 25 Apr 2019
Modificato: Rik
il 25 Apr 2019
A few calls to cellfun, a regexp and ismember will do the trick:
fileNames = [{'.'}, {'..'}, {'1.bin'}, {'1_Report.txt'}, {'2.bin'}, {'2_Report.txt'}, {'3.bin'}, {'3_Report.txt'}, {'4.bin'}];
bin_match=regexp(fileNames,'\.bin');%get the indices where .bin is in the filename
bin_names=fileNames(~cellfun('isempty',bin_match));%remove other files
bin_match=bin_match(~cellfun('isempty',bin_match));%remove empty elements
%find the base filename and compose the matching txt filenames
base_filename=cellfun(@(x,y) x(1:(y-1)),...
bin_names,bin_match,'UniformOutput',0);
txt_names=cellfun(@(x) {[x '_Report.txt']},base_filename);
%find out which txt file actually is in the list and keep the matching bin file
[~,b]=ismember(fileNames,txt_names);
processedFiles = bin_names(b(b~=0));
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Adam Danz
il 25 Apr 2019
fileNames = [{'.'}, {'..'}, {'1.bin'}, {'1_Report.txt'}, {'2.bin'}, {'2_Report.txt'}, {'3.bin'}, {'3_Report.txt'}, {'4.bin'}];
binNumMatch = regexp(fileNames, '\d+.bin', 'match');
binNum = [binNumMatch{:}];
fileNumMatch = regexp(fileNames, '\d+_Report.txt', 'match');
fileNum = [fileNumMatch{:}];
ismem = ismember(cellfun(@str2double, regexp(binNum, '\d+', 'match')), cellfun(@str2double, regexp(fileNum, '\d+', 'match')));
processedFiles = binNum(ismem); % = [{'1.bin'}, {'2.bin'}, {'3.bin'}];
processedIndex = find(ismember(fileNames, processedFiles)); % = [3, 5, 7];
2 Commenti
Rik
il 25 Apr 2019
Interesting how our approaches are very similar, even if this problem could be tackled in a number of ways.
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