convert .csv file to .xlsx?
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How can I convert a .csv file to .xlsx file in matlab?
Thank you.
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Answers (2)
Walter Roberson
on 6 Jul 2016
You can use either csvread() or xlsread() to read the file, and then you can use xlswrite() to write the new file.
3 Comments
Walter Roberson
on 6 May 2022
T = readcell(filename);
writecell(T, NewFileName)
Lev Vitkin
on 29 Jun 2023
If some cells of the .csv table are empty, then T = readcell(filename) returns the cell array where the empty cells are replaced by 'missing'. And writecell(T, NewFileName) cannot process 'missing' cells.
Use the following instead:
T = readmatrix(filename,delimitedTextImportOptions('DataLines',[1,Inf]));
writecell(T, NewFileName);
Azzi Abdelmalek
on 6 Jul 2016
Look at this example
[~,~,a]=xlsread('your_file.csv')
b=regexp(a,',','split')
c=reshape([b{:}],numel(b{1}),[])'
xlswrite('new_file.xlsx',c)
3 Comments
Carmen Ellenberg
on 6 May 2022
Matlab always shows me a problem with the regexp funktion.
Does anybody have an idea?
Walter Roberson
on 6 May 2022
The third output of xlsread() is a cell array, and the entries in that cell can have different data types:
- numeric
- character vector
- datetime object (not sure about this one)
The third output will not be pure character vectors, not unless the file contains only text and no empty cells.
regexp() can process the character vectors, but it cannot process numeric entries.
The regexp in that code would have limited value. All that it would change would be entries that were text in the file and had quoted commas, such as
3,5,"firefly, Oxford"
The other commas such as between the 3 and 5 would already have been used to figure out the cell boundaries for xlsread.
If you do have quoted commas then it is not obvious that you want them split.
That reshape is not doing anything useful compared to just using the [b{:}]
Overall I would recommend against using the suggested code.
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