Error while creating a table from cell

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AL
AL on 11 Apr 2023
Commented: Star Strider on 11 Apr 2023
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

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Accepted Answer

Star Strider
Star Strider on 11 Apr 2023
Ran in:
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 0.00013091 -0.00015059 0.00068167 0.00030093 0.00067519 -0.012468 0.00075823 0.00020806 0.00020595 0.0001513 -8.4978e-05 5.4239e-05 0.00016389 -0.00030113 0.00015752 0.00088649 0.0002888 0.00029925 0.00035816 0.00035556 0.0010585 -0.00045931 -0.00034242 -0.00020505 -0.00025865 0.00010493 -0.00012892 0.00029278 0.00024352 0.00020516 -0.0022649 -0.0022255 0.00014703 -0.00024902 -0.00090294 0.00035851 0.0007015 0.0055156 0.00052696 -0.00048931 -0.00011389 -0.0050822 9.9918e-05 -0.00010489 -0.00019023 -0.00025328 0.00036361 0.0006332 0.0011313 0.00035317 0.0001357 0.00023074 -0.00020601 0.00022568 8.46e-05 -0.00017713 0.00020139 -0.00029048 -0.00053927 -6.2872e-05 -0.00039034 -0.00039947 0.00046579 0.00073099 0.00032569 -0.00051451 0.0004379 -0.00049416 0.00065033 -0.00016813 0.00056885 0.00042667 0.00041487 -0.00059831 -0.0011214 0.00018872 -0.00095127 -0.0020558 0.0003641 0.00093098 0.0068808 0.00063007 -0.00038808 -0.00044659 0.010847 -0.00029491 -0.00013172 -0.00024745 -0.00031301 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