Handling Undesirable Characters in Numeric Columns When Reading a CSV File
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Dear all,
I need to read a .csv file which has some numeric columns that contain undesirable characters, so when I import it using readtable, the lines with these characters ( [u.]) are showed as NAN. Is it possible to remove it before? Or maybe read it as char, then remove and convert to double?
Here some lines of the file:

3 Comments
Dyuman Joshi
on 31 Jan 2024
Please share the csv file you are working with. Use the paperclip button to attach.
Geovane Gomes
on 31 Jan 2024
Accepted Answer
More Answers (1)
Austin M. Weber
on 31 Jan 2024
Edited: Austin M. Weber
on 31 Jan 2024
If you have Microsoft Excel (or Google Sheets) you can use the Replace Tool to get rid of the [u.] in all of the columns. Simply open your CSV file in Excel, choose the "Replace" tool (I think the shortcut in Windows is Ctrl+H). A dialog box should appear. In the "Find what:" box type [u.] and leave the "Replace with:" box blank. Then click the "Replace All" button. This should get rid of all instances of [u.] in your spreadsheet. Just save the CSV and then you can load it into MATLAB as normal.
Alternatively, you could probably also do this in MATLAB by converting the numeric columns into strings and then using the strrep function:
% Read table data
T = readtable('table_name.csv')
% Extract the numeric columns in the table
numeric_data = T{:,2:10};
% Convert to strings
numeric_strings = string(numeric_data);
% Delete [u.]
numeric_strings = strrep(numeric_strings, '[u.]','');
% Convert back to numeric data
numeric_data = str2num(numeric_strings);
% Insert back into the table
T{:,2:10} = numeric_data;
Try either of these and let me know if they work.
5 Comments
Geovane Gomes
on 31 Jan 2024
Dyuman Joshi
on 31 Jan 2024
Edited: Dyuman Joshi
on 31 Jan 2024
Removing the characters from the csv file itself might result in unwanted/undesired changes in the format of the file.
The handling from readtable() needs refinement -
For some columns, the data (with '[u.]' appended) is read as NaN, whereas for others, it is read as a cell array of a character vector (slide right to see).
y = readtable('p1.csv');
%data corresponding to the 4th row in the image attached by OP
dt = datetime(2023,10,2,2,26,48);
y(y.MoveStop==dt,:)
Geovane Gomes
on 31 Jan 2024
Austin M. Weber
on 31 Jan 2024
@Geovane Gomes, I did not see that you had shared your CSV file before I submitted my original answer. But I just I did the Excel procedure with the file and it seems to work perfectly. When I finished, I saved the file as a tab-delimited text file rather than a CSV so that the commas in your numbers aren't confused as delimiters. You can load the file in MATLAB by typing:
T = readtable('p1_tab_delimited.txt','Delimiter','tab');
Stephen23
on 31 Jan 2024
"I think I'll have to remove it using another tool before import."
Not required, you can use the import options.
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