How to process multiple .csv files?
    4 Ansichten (letzte 30 Tage)
  
       Ältere Kommentare anzeigen
    
    flemingtb
 am 2 Nov. 2018
  
    
    
    
    
    Beantwortet: flemingtb
 am 2 Nov. 2018
            I have a folder of .csv files i'd like to process as a batch, meaning perform analysis on each file individually. Here is the code to open the files, that i found. I'm getting an error i don't understand.
myFolder = 'B:\Projects\Concert\OfflineWarpGauge\FF_Data\Day1';
% Check to make sure that folder actually exists.  Warn user if it doesn't.
if ~isdir(myFolder)
  errorMessage = sprintf('Error: The following folder does not exist:\n%s', myFolder);
  uiwait(warndlg(errorMessage));
  return;
end
% Get a list of all files in the folder with the desired file name pattern.
filePattern = fullfile(myFolder, '*.csv'); % Change to whatever pattern you need.
theFiles = dir(filePattern);
for k = 1 : length(theFiles)
  baseFileName = theFiles(k).name;
  fullFileName = fullfile(myFolder, baseFileName);
  fprintf(1, 'Now reading %s\n', fullFileName);
end
Error Message:
Function 'subsindex' is not defined for values of class 'struct'.
Error in BatchProcessFiles (line 13)
for k = 1 : length(theFiles)
0 Kommentare
Akzeptierte Antwort
  Stephen23
      
      
 am 2 Nov. 2018
        
      Bearbeitet: Stephen23
      
      
 am 2 Nov. 2018
  
      You have a variable named length. This means when you write this:
for k = 1 : length(theFiles)
you are telling MATLAB that you want to indexing into the variable length using theFiles (which is a structure). Structures are not able to be used as indices, so this throws an error.
Solution: rename that variable, and call this:
clear length
0 Kommentare
Weitere Antworten (3)
  flemingtb
 am 2 Nov. 2018
        1 Kommentar
  Stephen23
      
      
 am 2 Nov. 2018
				
      Bearbeitet: Stephen23
      
      
 am 2 Nov. 2018
  
			@flemingtb: see the link that madhan ravi gave: this shows how to store imported file data in a cell array. Then you can access all of that imported data using cell indexing or a comma-separated list, e.g.:
C = cell(...);
for k = ...
    C{k} = ...
end
M = horzcat(C{:})
Siehe auch
Kategorien
				Mehr zu Matrix Indexing finden Sie in Help Center und File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!


