How to transpose a cell array blockwise?
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I have created a dataset D with one column and 3 rows which includes the following elements:
D1 = {1, 1} , 'Text1' with a total repetition of 15 times (1 row and 15 columns)
D2 = {2, 1} , Includes 15 300x3 double elements (1 row and 15 columns) named data1
D3 = {3, 1} , 'Text2' with a total repetition of 15 times (1 row and 15 columns)
Therefore I have the following cell array if i open D1, D2, and D3:
Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1 Text1
data1 data1 data1 data1 data1 data1 data1 data1 data1 data1 data1 data1 data1 data1 data1
Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2 Text2
When using the transpose option I would like to get the following order:
Text1
data1
Text2
Text1
data1
Text2
Text1
data1
Text2
etc.
However I am not sure how to write the code for it properly. Is there a matlba function to create "block elements" for transposing the above mentioned example?
Stay safe and healthy
David
5 个评论
Bjorn Gustavsson
2021-3-3
This sounds like a rubbish structure for your data (I might be wrong, and I know this sounds harsh.) The structure you chose for your data should make the work simple, here you seem to combine the data in a way that makes further processing difficult.
I suggest you take a think about how you should structure the data in a way that makes it easy to process.
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James Tursa
2021-3-3
E.g., brute force approach
result = reshape([D{1};D{2};D{3}],[],1);
4 个评论
James Tursa
2021-3-4
编辑:James Tursa
2021-3-4
There are multiple things going on in that one line of code.
First you specified that D{1}, D{2}, and D{3} each contained 1x15 cell arrays, so this expression stacks them vertically into a single 3x15 matrix:
[D{1};D{2};D{3}] <-- using semi-colons causes the stacking vertically (using commas would be horizontal)
The elements of the resulting 3x15 combined cell matrix, which is a regular cell array and not a nested cell array because we dereferenced the first level with the { } notation, are simply:
D{1}(1) , D{1}(2) , ... , D{1}(15)
D{2}(1) , D{2}(2) , ... , D{2}(15)
D{3}(1) , D{3}(2) , ... , D{3}(15)
Since all MATLAB matrices are stored in memory in column major order, that means the first column is first in memory, followed by the second column, followed by the third column, etc.
The reshape( ) function simply changes the dimensions of the matrix without changing the ordering of the elements in memory, so reshaping to a column vector simply produces this result:
D{1}(1)
D{2}(1)
D{3}(1)
D{1}(2)
D{2}(2)
D{3}(2)
:
D{1}(15)
D{2}(15)
D{3}(15)
Bottom line is that the concatenation and reshaping or transposing works the same way on cell arrays as it does on regular numeric or logical matrices.
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Bjorn Gustavsson
2021-3-3
If I understand you right this should do what you want:
QWE = {'T1_1','T1_2','T1_3';randn(1),randn(2),randn(3);'T2_1','T2_2','T2_3'};
%
%QWE =
%
% 3×3 cell array
%
% 'T1_1' 'T1_2' 'T1_3'
% [0.5377] [2×2 double] [3×3 double]
% 'T2_1' 'T2_2' 'T2_3'
%
QWE(:)
%
%
%
% 9×1 cell array
%
% 'T1_1'
% [ 0.5377]
% 'T2_1'
% 'T1_2'
% [2×2 double]
% 'T2_2'
% 'T1_3'
% [3×3 double]
% 'T2_3'
This should extend well.
HTH
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