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HOW TO SORT DATA IN CELL ARRAY

조회 수: 1 (최근 30일)
Akshay Sahu
Akshay Sahu 2020년 3월 10일
댓글: Akshay Sahu 2020년 3월 14일
A {1x4}
Such that
A = {A{1,1},A{1,2},A{1,3},A{1,4}}
A{1,1}={}
A{1,2}={0.5 0.2
1 2
3 4
NaN NaN
5 6
7 8
9 10
NaN NaN}
A{1,3}={0.5 0.8
5 6
7 8
9 10
NaN NaN
11 12
13 14
15 16
17 18
NaN NaN}
A {1,4} = {0.7 0.9
19 20
NaN NaN
25 26
27 28
29 30
31 32
NaN NaN}
I want to separate data when there is NaN NaN in the matrix, want to store values before first NaN NaN in one cell array and after NaN NaN in another cell array.
B1 = {A{1, 2}(1:3,:))}
B2 = {A{1, 3}(1:4,:))}
B3 = {A{1, 4}(1:2,:))}
C1 = {A{1, 2}(5:7,:)}
C2 = {A{1, 3}(6:9,:)}
C3 = {A{1, 4}(4:7,:)}
B = {{B1},{B2},{B}}
C = {{C1},{C2},{C3}}
  댓글 수: 1
Luna
Luna 2020년 3월 10일
편집: Luna 2020년 3월 10일
why are you using cell arrays inside cell arrays? What makes you understand which part belongs to B and which belongs to C?

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채택된 답변

Ameer Hamza
Ameer Hamza 2020년 3월 10일
Are you looking for something like this code? Note that I have made some modifications to the datatypes and removed A{1,1} = {}, since it makes the code simpler. This code will work as long as there are two nan rows in the matrix.
A{1,1}=[0.5 0.2
1 2
3 4
NaN NaN
5 6
7 8
9 10
NaN NaN];
A{1,2}=[0.5 0.8
5 6
7 8
9 10
NaN NaN
11 12
13 14
15 16
17 18
NaN NaN];
A{1,3} = [0.7 0.9
19 20
NaN NaN
25 26
27 28
29 30
31 32
NaN NaN];
nan_rows = cellfun(@(x) find(isnan(x), 2), A, 'UniformOutput', 0);
B = cellfun(@(x, y) x(1:y(1)-1, :), A, nan_rows, 'UniformOutput', 0);
C = cellfun(@(x, y) x(y(1)+1:y(2)-1, :), A, nan_rows, 'UniformOutput', 0);
  댓글 수: 13
Ameer Hamza
Ameer Hamza 2020년 3월 14일
Try this. B is a cell array of cell arrays. See the result with indexing like this: B{1}{1}, B{1}{2}, B{2}{1}, ....
A{1,1}=[0.5 0.2
1 2
3 4
NaN NaN
5 6
7 8
9 10
NaN NaN
0.5 0.2
1 2
3 4
NaN NaN];
A{1,2}=[0.5 0.8
5 6
7 8
9 10
NaN NaN
11 12
13 14
15 16
17 18
NaN NaN
0.5 0.8
5 6
7 8
9 10
NaN NaN];
A{1,3} = [0.7 0.9
19 20
NaN NaN
25 26
27 28
29 30
31 32
NaN NaN
0.7 0.9
19 20
NaN NaN];
total_nan_rows = sum(isnan(A{1}(:,1)));
nan_rows = cellfun(@(x) find(isnan(x), total_nan_rows), A, 'UniformOutput', 0);
for i=1:total_nan_rows
if i==1
B{i} = cellfun(@(x, y) x(1:y(i)-1, :), A, nan_rows, 'UniformOutput', 0);
elseif i==total_nan_rows
B{i} = cellfun(@(x, y) x(y(i-1)+1:end-1, :), A, nan_rows, 'UniformOutput', 0);
else
B{i} = cellfun(@(x, y) x(y(i-1)+1:y(i)-1, :), A, nan_rows, 'UniformOutput', 0);
end
end
Akshay Sahu
Akshay Sahu 2020년 3월 14일
Yeah thanks man Ameer Hamza it's working.

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