Sort all columns in a cell array with labels

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Hello everyone
I have the following cell array with text and numeric data:
>> M
M =
5×4 cell array
'' 'Ana' 'Delta' 'Oscar'
'B' [0.9058] [0.9058] [0.9058]
'C' [0.1270] [0.1270] [0.1270]
'D' [0.9134] [ 4] [ 2]
'E' [0.6324] [0.6324] [0.6324]
I would like to sort the data in columns 2, 3 and 4 in descending order (largest to smallest) but also with labels (column 1) and also with labels Ana, Delta and Oscar. I am aware that sortrows can be used for sorting data using a particular column, but I am not sure of the indexing for sortrows or an efficient way of sorting data in columns 2-4 in my cell array M and at the same time having labels next to them.
Thank you for your help.
Suha.
  2 Comments
Stephen23
Stephen23 on 13 Feb 2018
Edited: Stephen23 on 13 Feb 2018
@Suha: you should really consider putting your data into a table, which natively store data with headers. Then you could apply lots of other functions to the data without having to worry about the first row and column being special cases, e.g. sorting the rows without requiring any indexing at all. It also stores the columns as arrays of an appropriate class, which makes working with the data much easier (putting lots of scalar numeric data into cells of a cell array just makes working with numeric data much more complex than it needs to be).
Suha
Suha on 13 Feb 2018
I turned the cell array into a table using cell2table, but then got stuck trying to sort the data...

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Accepted Answer

Stephen23
Stephen23 on 13 Feb 2018
Edited: Stephen23 on 13 Feb 2018
If you do not want to use a table then you would be better off keeping your numeric and cell-of-character data separately, e.g.:
hdr = {'Ana','Delta','Oscar'}
typ = {'B','C','D','E'};
mat = [0.9058,0.9058,0.9058;...
0.1270,0.1270,0.1270;...
0.9134, 4, 2;...
0.6324,0.6324,0.6324];
Then you can trivially sort by rows as you choose:
>> [mat,idx] = sortrows(mat)
mat =
0.12700 0.12700 0.12700
0.63240 0.63240 0.63240
0.90580 0.90580 0.90580
0.91340 4.00000 2.00000
idx =
1
2
3
4
>> typ = typ(idx);
>> typ{:}
ans = B
ans = C
ans = D
ans = E
  5 Comments
Stephen23
Stephen23 on 13 Feb 2018
@Suha: each column might have a different order: is that what you want?
>> [mat,idx] = sort(mat,1)
mat =
0.12700 0.12700 0.12700
0.63240 0.63240 0.63240
0.90580 0.90580 0.90580
0.91340 4.00000 2.00000
idx =
2 2 2
4 4 4
1 1 1
3 3 3
>> out = typ(idx)
'C' 'C' 'C'
'E' 'E' 'E'
'B' 'B' 'B'
'D' 'D' 'D'
Suha
Suha on 14 Feb 2018
@Suha: each column might have a different order: is that what you want?
Yes, that's exactly what I want ! Thank you. It works :)

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More Answers (1)

Birdman
Birdman on 13 Feb 2018
Edited: Birdman on 13 Feb 2018
Something like this?
[~,idx]=sort(cell2mat(M(2:end,2:end)),1,'descend');
M(sort(idx)+1,:)=M(idx+1,:)
or
[~,idx]=sortrows(M(2:end,2:end),'descend');
M(sort(idx)+1,:)=M(idx+1,:)
  7 Comments
Birdman
Birdman on 13 Feb 2018
It worked perfectly in my case, where each column was sorted independently. Make sure you enter the code correctly, otherwise it should work. I can not attach a screenshot of it at the moment.

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