Split the given string into characters

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I have a column in my table that has values such as '2.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx', it has altogether 37 single characters. I want to split the string into 37 different columns for further data analysis. I have tried using 'split' function, but it doesn't work.
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Stephen23
Stephen23 2018-5-17
编辑:Stephen23 2018-5-17
"I want to split the string into 37 different columns..."
Your char vector already has 37 columns. This is easy to check:
>> str = '2.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx';
>> size(str)
ans =
1 37

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采纳的回答

Image Analyst
Image Analyst 2018-5-17
Here's an example for 8 columns. You can expand it to 37 columns.
ca = {'1.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx'; '2.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx'; '3.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx'}
t = cell2table(ca)
% Now we have our table.
% Extract this one column:
col1 = t{:,1}
% Make 37 cell arrays
ca1 = cell(37, 1);
ca2 = cell(37, 1);
ca3 = cell(37, 1);
ca4 = cell(37, 1);
ca5 = cell(37, 1);
ca6 = cell(37, 1);
ca7 = cell(37, 1);
ca8 = cell(37, 1);
for row = 1 : length(col1)
thisRow = col1{row};
ca1{row} = thisRow(1);
ca2{row} = thisRow(2);
ca3{row} = thisRow(3);
ca4{row} = thisRow(4);
ca5{row} = thisRow(5);
ca6{row} = thisRow(6);
ca7{row} = thisRow(7);
ca8{row} = thisRow(8);
end
t2 = table(ca1, ca2, ca3, ca4, ca5, ca6, ca7, ca8)
  3 个评论
Image Analyst
Image Analyst 2018-5-18
Yes simpler, but I agree with Guillaume that it's better to leave it as a string and not create a table with all those columns.

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更多回答(2 个)

KSSV
KSSV 2018-5-17
str = '2.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx' ;
iwant = cell(1,length(str)) ;
for i = 1:length(str)
iwant{i} = str(i) ;
end
  3 个评论
Guillaume
Guillaume 2018-5-17
And even much simpler is not to bother at all. str already has 37 different columns. Each one can be accessed with str(columnindex).

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Guillaume
Guillaume 2018-5-17
A char array such as
str = '2.6ELKUxQKWPVJVHxxxxC.4xxxIxSxJJxxxxx'
already has different columns. If you want to access column 6 of str, it's simply:
str(6)
Exactly the same as when accessing columns of a numerical matrix.

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