I have a folder containing subfolders containing hdf5 files (10,000 of them in fact).
A example of a path would be 'data\A\F\G\TRATTGW128F427A82D.h5'.
Below 'data', there are 3 levels of folders, all named by a single letter. The final files all have similar names to TRATTGW128F427A82D.h5.
I have a function that converts hdf5 files to .mat. I want to upload all these files and store some of their info in a matrix.
hdf5_to_matfile('path\to\hdf5.h5','path\to\outputk.mat'); matk=load('path\to\outputk.mat'); A(k,1)=matk.data1; A(k,2)=matk.data2;
How can I loop over all my folders and subfolder to obtain this one single matrix A containing one line for each folder with data1 and data2 in each column? And what would be the fastest way to proceed?
Thank you for your help!
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Thank you! This link really helped. However I have one last problem. I can get all the .h5 in one single directory, however I want my program to go through all the lower directories as well. The beginning of my code is:
myFolder = 'D:\Documents\Subset\A\A\A\'; if ~isdir(myFolder) errorMessage = sprintf('Error: The following folder does not exist:\n%s', myFolder); uiwait(warndlg(errorMessage)); return; end filePattern = fullfile(myFolder, '*.h5');
but I also want the files that are in 'D:\Documents\Subset\A\A\B\*.h5', 'D:\Documents\Subset\A\B\F\*.h5' or 'D:\Documents\Subset\B\G\D\*.h5' for example. In my case, there are 1352 combinations in total. I tried doing:
myFolder = 'D:\Documents\MillionSongSubset\'; if ~isdir(myFolder) errorMessage = sprintf('Error: The following folder does not exist:\n%s', myFolder); uiwait(warndlg(errorMessage)); return; end filePattern = fullfile(myFolder, '*\*\*\*.h5');
but it did not work... Is there another trick I need to know here?
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