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How to import csv file of 200 rows by 4096 columns without truncation?

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I am facing a problem trying to read in a csv file of 200 rows by 4096 columns. I have tried the following commands to read in the file: csvread, xlsread, load However, each time I noticed that I was only able to read in 200 rows by 256 columns to a data array. When I did a preview of the csv file in Matlab, I saw the message 'Preview truncated at twenty thousand characters'. If the number of rows is only 100 rows, then the number of columns that I am able to read in is 2048. It seems that there is a limit to the number of data values that Matlab will be able to read in from a file. May I know if there is a way to extend the memory space of Matlab so that I can read in data values from a csv file with more than 200 rows by 4096 columns?

Accepted Answer

Niklas Nylén
Niklas Nylén on 2 Jun 2014
Niklas Nylén
Niklas Nylén on 2 Jun 2014
Edited: Niklas Nylén on 2 Jun 2014
To me it sounds like it is only the preview that is truncated, not the data itself.
This works for me:
% Write a csv file with random values, size 200*4096
x = rand(200,4096);
a = csvread('test.csv');
b = importdata('test.csv');
Except for small rounding errors, x, a and b are identical:
>> max(max(abs(x-a)))
ans =
Derrick Tiew
Derrick Tiew on 2 Jun 2014
Thanks for the info. Yup, it works all right now after a second try with the same csv file. All (cvsread, xlsread, load and importdata) can load in 200rows by 4096cols without issue. It was strange that we did fabricate 4096cols before in the csv file and was only able to load it half of the cols. Anyway, it works now.

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