I keep getting the same error when using readtable or readmatrix: Dimensions of arrays being concatenated are not consistent.
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Chase
on 11 Nov 2025 at 3:25
Commented: Chase
on 11 Nov 2025 at 6:52
A = readtable('data_file.csv')
A = readmatrix('data_file.csv')
When I tell you I have tried everything. Uninstalled and reinstalled Matlab twice. Cleared my cache of all matlab knowledge. I cannot read in data from a csv or text file using readtable and readmatrix for the life of me. Somebody please help. I have tried doing the same exact things on other's computers and it works perfectly. I am convinced my readtable and readmatrix functions are broken.
2 Comments
Steven Lord
on 11 Nov 2025 at 3:48
Does the error occur only for this one particular .csv file (or a corresponding .txt file) or does it happen for all such files?
If you use writematrix to write a matrix to a file, can you then call readmatrix on that file to recreate the matrix? If you run the following lines of code, what happens?
cd(tempdir)
A = magic(5);
writematrix(A, 'samplefile.csv')
B = readmatrix('samplefile.csv');
isequal(A, B) % ought to be true
If this is specific to one particular file, have you checked that all of the rows in the file have the same number of elements?
Accepted Answer
Stephen23
on 11 Nov 2025 at 6:01
Edited: Stephen23
on 11 Nov 2025 at 6:37
You have likely shadowed the function HEIGHT() or WIDTH() or SIZE() or LENGTH() or NUMEL() or similar:
Tell us the exact output from these commands:
which -all height
which -all width
and we might be able to identify a shadowed function.
If no obvious shadowing then tell us what this prints:
try
B = readmatrix('data_file.csv');
catch ME
fprintf('Error ID: %s\n', ME.identifier);
fprintf('Message: %s\n', ME.message);
fprintf('Error occurred in: %s (line %d)\n', ME.stack(1).name, ME.stack(1).line);
end
or use
dbstop if caught error
to identify the line and function/file and error cause. Let us know where it stops!
For those who are wondering, line 11 of READMATRIX() simply consists of
throw(ME);
and rethrows errors that are caught in the actual functions doing the heavy-lifting.
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