Hi suryeon kim,
dlmread() reads numeric data into matrix.
For example (files used in the code are attached),
fileNamesArray= {‘1.csv’,’2.csv’};
data = cell(numel(fileNamesArray),2);
data(:,1) = regexprep(fileNames, '.csv','');
for i = 1: numel(fileNamesArray)
data{i,2} = dlmread(fileNamesArray{i});
end
Please refer this document for further information:
https://www.mathworks.com/help/releases/R2017b/matlab/ref/dlmread.html
The normal recommendation for dealing with csv files having data in any type is to use
textscan(), but textscan() is harder to deal with when there are string fields with missing values.
Textscan reads the data into a cell array and it matches the data in the file with the formatSpec.
Example:
fileNamesArray= {‘1.csv’,’2.csv’};
for i = 1: numel(fileNamesArray)
f = fopen(fileNamesArray(i));
X = textscan(f, ‘%s%s%s’, 'Delimiter', ',', 'HeaderLines', 1);
fclose(f);
end
Please refer this document for further information:
https://www.mathworks.com/help/releases/R2017b/matlab/ref/textscan.html
Hope this answers the query.
