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how to import csv file in matlab

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Nur Zakaria
Nur Zakaria on 18 Apr 2013
  • 2
Edited: Thomas Carteron 6 Jun 2022
Hi, I have one question. I need to import data into MATLAB from a CSV file. Unfortunately, the data has header information in 3 columns.
How do I skip the headers and get the data directly?
For example:
a= import data ('C:\s11.dat') *
Then what is the next step? I need your help.
Thank you.
1 Comment
sehrish
sehrish on 18 Apr 2013
As you click on import data there is option "import as"..there are three options to save data as a Matrix OR Column OR Cell array So if u want to save it as a whole thn select matrix and ur whole variable will be saved in a variable if u want wise then select Column option and data will be saved in column and variables will be shown in work space

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Accepted Answer

Mukesh Jadhav
Mukesh Jadhav on 9 Oct 2016
Edited:MathWorks Support Team on 15 Mar 2021
To import data from a CSV file into MATLAB use the “readtable” function. The “readtable” function automatically detects the header and the number of lines to skip.
T = readtable('myfile.csv');
Alternatively, you can specify the number of lines to skip using:
T = readtable('myfile.csv','NumHeaderLines',3);% skips the first three rows of data
For more information, see:
//www.tatmou.com/help/matlab/ref/readtable.html
1 Comment
francisco caldeira
francisco caldeira on 4 May 2020
readtable('myfile.csv'); this generates a warning -> ' Warning: Column headers from the file were modified to make them valid MATLAB identifiers before creating variable names for the table. The original column headers are saved in the VariableDescriptions property. Set 'PreserveVariableNames' to true to use the original column headers as table variable names. '
To solve do:
T = readtable('myfile.csv','PreserveVariableNames',true);

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More Answers (4)

Karen Hornsby
Karen Hornsby on 18 Apr 2013
HI, You can either use the import data wizard by right clicking on the file in the current folder window. When the import wizard opens it should give you a preview of the data and in the top right is a box which asks you how many header lines there are. You can use this to create code to open files of this type repeatedly (this works well but if your new to matlab it can be a bit confusing to edit) or you can used the following code to open files
ftoread ='%file name';
fid = fopen(ftoread);
fgetl(fid)%reads line but does nothing with it
fgetl(fid)
fgetl(fid)
M = textscan(fid,'%f','Delimiter','\,');% you will need to change the number of values to match your file %f for numbers and %s for strings.
fclose (fid)
You can get more help with this in the help file, just type in the command you want help with in the search box. Karen
Thomas
Thomas on 18 Apr 2013
Edited:Thomas on 18 Apr 2013
I think the easiest way is to use CSVIMPORT from the File Exchange:
http://www.mathworks.co.uk/matlabcentral/fileexchange/23573-csvimport
%read data example: Import columns as column vectors
[X Y Z] = csvimport('vectors.csv','columns', {'X, 'Y','Z'});
%remove headers
X(1) = [];
Y(1) = [];
Z(1) = [];
This assumes that the first element in the array contains the header
Thomas
1 Comment
Thomas Carter
Thomas Carter on 6 Jun 2022
I have found that with large datasets, csvimport corrupts data. Spent a full day trying to figure this one out.

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sharmila kanagaraj
sharmila kanagaraj on 28 Jan 2017
anyboady已知dynamic clustering how to load dataset in it
jgd0008
jgd0008 on 2 Dec 2016
Edited:per isakson on 2 Dec 2016
Hi, Something like this, may work;
data = fopen('file_name.csv');
A = textscan(data,'%s','Delimiter','\n');
B = A{1,1};
fclose(fid);
C = textscan(B,'%s','Delimiter',',');
D = C{1};

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