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# Reshape array of cells with different column sizes into matrix

A.Laan
1#
A.Laan Published in 2017-12-07 14:52:06Z
 I need to reshape a T1 = [1x5] cell array, where each cell is a [5x1] cell array of numbers into a S1 = [m-by-n] matrix of numbers. The problem is the initial cell array T1 may have different number of rows in each cell - meaning I don't have a square shaped array to use " cell2mat " function. Example: T1=[1x5] cell array T1{1} T1{2} T1{3} T1{4} T1{5} 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24  I need to add all of the columns together: T2= 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24  And then reshape the array into [m-by-n] array (always square shaped), in this example S1=[3x8]: S1= 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24  I thought that maybe I could reshape T1 into [x-by-1] array and then reshape that array in to S1=[m-by-n]. But what should i do in order to get results like this: T3= 1 2 3 4 ... 24  And not like T3= 1 6 11 16 21 2 ... 24  Any help would be appreciated.
Wolfie
2#
 One strategy would be: Pad all of the cell array elements with NaN to make them the same size Concatenate the padded arrays Remove the NaNs Reshape That would look like this... % 1. Get maximum size of T elements % Pad all elements of T up to maxn values with NaN maxn = max(cellfun( @numel, T )); Tpadded = cellfun( @(x) [x; NaN(maxn-numel(x))], T, 'uni', 0); % 2. Convert to array. Tpadded = cat( 2, Tpadded{:} ); % 3. Reshape to be one row and remove NaNs Trow = reshape( Tpadded.', 1, [] ); Trow = Trow(~isnan(Trow)); % 4. Reshape to desired result Tout = reshape( Trow, 8, 3 ).';  Result Tout = [1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24]