How do I query 200 cells containing datasets of unequal lengths using one data having complete data?
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Stephen Tete
el 10 de Nov. de 2022
I have this code that overwrites nan values (stored in refom) with data from different cells (A). A has 200 cells each containing datasets
The problem is when I use this for loop below to loop through the data in the cells it does overwrite the nan values as I expect
Nevertheless, in rows where there is no data I expect it to leave the NANs but what happens is that it rather put some random
values in positions where there is no data.
On the other hand when I try to do it out of the for loop using just two datasets it works.
What is missing please?
rf = {};
refom = nan(size(A{1})); %A{1} has full dataset hence using its size to create NANs
for i = 1:length(A)
r_new = A{i}(:,:);
[~,rows] = ismember(r_new(:,3),A{1}(:,3)); %compare col 3 of the two data
refom(rows,:) = r_new; % overwrite NaNs and keep NANs for rows without data
rf = [rf; refom]; %append to cell dustbin rf
end
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Respuesta aceptada
Jan
el 10 de Nov. de 2022
Editada: Jan
el 11 de Nov. de 2022
The data are not random, but the values of the former iterations. You do not reset the contents of refom to NaN in each iteration.
refom = nan(size(A{1}));
match = A{1}(:, 3); % [EDITED] 3 column only
for i = 1:numel(A)
r_new = A{i};
[~,rows] = ismember(r_new(:,3), match);
refom(rows, :) = r_new;
rf = [rf; refom];
refom(:) = NaN;
end
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