splitting data to two csv sheet
显示 更早的评论
Hi all, I have one csv file and I am planning to split it into two separate sheet based on a criteria. Th first column of my CSV has "name of the file" and all other columns have numbers. For each row, I want to check the last column and if it is more than 2300, separate the row and put it in one sheet of CSV, else put it in another sheet of CSV. I came up with this code
jj=1
cc=1
for j=1 : 463
if result(j,35)<2380
LF(jj,:)=result(j,:);
Lname{jj,1}=result1{j,1};
jj=jj+1;
else
HF(cc,:)=result(j,:);
Hname{cc,1}=result1{j,1};
cc=cc+1
end
end
sheet1=1;
sheet2=2;
xlswrite('seperated',Lname,sheet1,'A1')
xlswrite('seperated',LF,sheet1,'B1')
xlswrite('seperated',Hname,sheet2,'A1')
xlswrite('seperated',HF,sheet2,'B1')
It works, however, I am not sure when I want to write it in csv file, why I cannot not write the Lname which is a cell and include the related name can you please advise what I need to do to write it?
10 个评论
Paolo
2018-6-11
Can you add your input .csv file?
roozbeh yousefnejad
2018-6-11
roozbeh yousefnejad
2018-6-11
Paolo
2018-6-11
@roozbeh
t = readtable('result.csv');
c = table2cell(t);
r = cell2mat(c(:,36))>2300;
datagreater = c(r,:);
datalower = c(~r,:);
xlswrite('datagreater',datagreater);
xlswrite('datalower',datalower);
Does this code do what you want?
roozbeh yousefnejad
2018-6-11
roozbeh yousefnejad
2018-6-11
Paolo
2018-6-11
The main problem is that at the end in the generated excel file I do not have the name of the files and the first column is empty
I am unsure as to why the first column is empty for you. What version of Matlab are you using? And what do you mean by:
I do not have the name of the files
Do you want to repeat the first column or have a new, final column with the name of the file, e.g. 'datagreater' and 'datalower' repeated?
Please find attached 'datagreater.xls' and 'datalower.xls' which I obtained by running the code I shared in the previous comment.
roozbeh yousefnejad
2018-6-11
Guillaume
2018-6-11
t = readtable('result.csv');
c = table2cell(t);
r = cell2mat(c(:,36))>2300;
That's a lot of unnecessary conversions here
t = readtable('result.csv');
r = t{:, 36} > 2300;
would achieve the same faster. There is no point in converting the table to anything else. You can just split the table itself.
Paolo
2018-6-11
That's a very good point.
采纳的回答
更多回答(0 个)
类别
在 帮助中心 和 File Exchange 中查找有关 Spreadsheets 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!