Error while creating a table from cell

I have cell containing tables with variables Frequnacy and Mode values, Now i want to create a table where each column represent frequancy and a raw has values of mode for all 48 cells.
something like this.
% Extract frequency values from the first table of Mode_shape
freq_values = Mode_shape{1}.freq;
% Preallocate the output cell array
output_cell = cell(size(freq_values));
% Loop over the frequency values and extract the corresponding Mode values
for i = 1:length(freq_values)
% Find the index of the table that matches the current frequency value
freq_index = find([Mode_shape{:}].freq == freq_values(i), 1);
% Extract the mode values from the matching table
mode_table = Mode_shape{freq_index}.mode;
% Assign the mode table to the output cell array, using the frequency value as the table name
output_cell{i} = array2table(mode_table, 'VariableNames', {'Mode'}, 'RowNames', {'Node 1', 'Node 2', 'Node 3'});
output_cell{i}.Properties.VariableUnits{'Mode'} = 'm';
output_cell{i}.Properties.Description = sprintf('Mode shape for frequency %.2f Hz', freq_values(i));
end

 Accepted Answer

Perhaps this —
LD = load('Mode_shape.mat')
LD = struct with fields:
Mode_shape: {1×48 cell} data_cell: {1×48 cell} output_cell: {1×48 cell}
Mode_shape = (LD.Mode_shape);
freq = Mode_shape{1}.freq;
mode = cellfun(@(x)x.mode, Mode_shape, 'Unif',0);
VN = compose('%g',freq);
Mode_table = array2table(cell2mat(mode).', 'VariableNames',VN)
Mode_table = 48×43 table
5 7.5 13.75 18.75 22.5 27.5 32.5 36.25 42.5 45 48.75 51.25 56.25 60 62.5 66.25 68.75 72.5 82.5 90 93.75 100 102.5 108.75 113.75 116.25 120 125 127.5 130 133.75 136.25 140 146.25 153.75 157.5 162.5 170 181.25 185 190 192.5 196.25 ___________ ___________ ___________ ___________ ___________ __________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ __________ __________ ___________ ___________ ___________ __________ ___________ ___________ ___________ ___________ __________ __________ __________ __________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ -0.00022306 -0.0016559 8.7761e-05 0.00015143 -0.00037047 0.0012073 -6.5725e-05 -0.00066836 -0.00032238 -0.00023063 0.00019979 -0.00033541 0.00012908 -0.00011987 0.0030057 0.00070089 -0.0011947 0.0046722 -0.00073056 -0.000445 0.0008882 -0.0065965 -0.00013824 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.

2 Comments

Worked perfectly! Thank you so much @Star Strider
As always, my pleasure!

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Asked:

AL
on 11 Apr 2023

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on 11 Apr 2023

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