header row causes issues in readtable

Hello I am stumped

I have a pile of files like the attached. They are tab delimited even though they are .csv files.

If I remove the header I can use readtable just fine but I can't figure out how to import the data using readTable without manually deleating the header from each file...

The header and data has the same number of columns.

Otherwise I can't figure out a reasonable way to import them.

To be honest, I don't care about even having the right variable names but I can't work around it.

[Mehmed Saad]

Have you tried

T= readtable('testfile.csv',...
    'ReadVariableNames',false)

[Budding MATLAB Jockey]

So with that as false it would end up piling everyhing into 1 huge cell for some reason.

My friend tried my same code and same files and it worked. He has a newer matlab so I'll just ignore this for now. If a versino change solves it then I'll just get someone else to run it when the time comes

thanks though!

[Star Strider]

Consider: spreadsheetImportOptions

Answer 1

[Walter Roberson]

T = readtable('testfile.csv', 'ReadVariableNames', false, 'HeaderLines', 1);

Or, R2019b or later,

T = readtable('testfile.csv', 'PreserveVariableNames', true);

Note that the code guesses 'MM/dd/uuuu HH:mm' format instead of 'dd/MM/uuuu HH:mm' . If there were enough input in a column that it could figure it out then it would not have to guess. You can force a particular interpretation by using detectImportOptions and using setvaroptions() of 'InputFormat' and then passing the options to readtable()