You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
We all feel headache about importing large data into matlab which may cause 'out of memory' problem. Since large CSV data usually stored in columns or rows, we can read CSV file column by column or row by row.
csvscan.m is a simple draft but work well for unlimited size of csv file, if each column data does not surpass the memory limitation. In my case, I have loaded 500M Bytes CSV file in 34 separated mat files. Hope it can help you.
Cite As
Juan Huo (2026). Read large CSV file in column and save each column in mat file (https://www.mathworks.com/matlabcentral/fileexchange/36546-read-large-csv-file-in-column-and-save-each-column-in-mat-file), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.3.0.0 (1.53 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
