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

Accepted Answer

Adam Danz
Adam Danz on 25 Apr 2019
Edited: Adam Danz on 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];

More Answers (2)

Rik
Rik on 25 Apr 2019
Edited: Rik on 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));

Adam Danz
Adam Danz on 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 Comments
Rik
Rik on 25 Apr 2019
Interesting how our approaches are very similar, even if this problem could be tackled in a number of ways.
Adam Danz
Adam Danz on 25 Apr 2019
Ha! That challenged me to think of an alternative.

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