I am using a MATLAB script that uses the readcell function to read in data from multiple CSV files. Each file is relatively large (4.5 MB) and is read in with the ‘ConsecutiveDelimitersRule’ set to ‘split’.
When I compare the MATLAB cell generated by readcell to the original CSV file, several rows in the CSV file are not present in the cell array. There does not appear to be a consistent pattern of which rows are skipped over during the import process.
Are there any potential issues with this setup given the file format and size?I am using a MATLAB script that uses the readcell function to read in data from multiple CSV files. Each file is relatively large (4.5 MB) and is read in with the ‘ConsecutiveDelimitersRule’ set to ‘split’.
When I compare the MATLAB cell generated by readcell to the original CSV file, several rows in the CSV file are not present in the cell array. There does not appear to be a consistent pattern of which rows are skipped over during the import process.
Are there any potential issues with this setup given the file format and size? I am using a MATLAB script that uses the readcell function to read in data from multiple CSV files. Each file is relatively large (4.5 MB) and is read in with the ‘ConsecutiveDelimitersRule’ set to ‘split’.
When I compare the MATLAB cell generated by readcell to the original CSV file, several rows in the CSV file are not present in the cell array. There does not appear to be a consistent pattern of which rows are skipped over during the import process.
Are there any potential issues with this setup given the file format and size? readcell, csv MATLAB Answers — New Questions
