How to Split excel file with multi columns into equal smalller excel files using matlab
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Please how can splitting Excel file (n*m) into smallaer equal excel files by matalb
5 commentaires
dpb
le 19 Oct 2019
"... excel( around (500,000) rwos , I need splitting them into seperate excel files in equal size , (for example each file arround 100000 rows"
Why do they need to be split into files, specifically?
Why not just process the parts desired in memory?
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Payas Bahade
le 21 Oct 2019
Hi Furat,
I have written a code which can be used to split one large excel file into multiple smaller excel files. Following sample code splits given excel file into 3 smaller files of 50 rows each.
inputFile = 'test11';% Input excel file name
M = 50; % Number of rows to be included in splitted excel files
N = 3; % Number of files to be created
for k = 0:N-1
outputFile = [ inputFile num2str(k+1,'%02i') '.xlsx' ];% Output file name
cellRange=[ 'A' num2str(M*k+1) ':' 'D' num2str(M*k+M) ];% Defining area of input excel file to be written in output file
X=readmatrix('test11.xlsx','Range',cellRange);% Reading required area in input excel file
writematrix(X,outputFile);% Writing required area in output file
end
You can achieve your objectives by changing the above code as per your requirements.
Hope this helps!
6 commentaires
Payas Bahade
le 31 Oct 2019
Hi Furat,
To resolve the above issue of 'C' column not been read, specify 'OutputType' as 'string' in 'readmatrix' function. Please use code mentioned below:
inputFile = ('book1F');% Input excel file name
M = 100; % Number of rows to be included in splitted excel files
N = 20; % Number of files to be created
for k = 0:N-1
outputFile = [ inputFile num2str(k+1,'%02i') '.xlsx' ];% Output file name
cellRange=[ 'A' num2str(M*k+1) ':' 'D' num2str(M*k+M) ];% Defining area of input excel file to be written in output file
X=readmatrix('book1F.xlsx','Range',cellRange,'OutputType','string'); % Reading required area in input excel file
writematrix(X,outputFile);% Writing required area in output file
end
Hope this helps!
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