I suggest using image rather than pcolor, because image displays all the data, while pcolor does not, displaying everything except the last row and last column. The cells in ‘data’ have varying row sizes, so this approach uses the first 31 rows or the maximum row size to fill each column of the ‘Cols’ matrix. Cells with fewer than 31 rows are filled with NaN values to 31 and rows greater than 31 in any cell are discarded.
LD = load('data.mat');
data = LD.data
RowSize = cell2mat(cellfun(@(x)size(x,1), data, 'Unif',0)); % Row Sizes Of Each Cell
Cols = NaN(31,numel(data)); % Preallocate
Col2 = cellfun(@(x)x(:,2), data, 'Unif',0); % Second Column Of Each Cell In 'data'
for k = 1:numel(data)
Cols(1:min(31,RowSize(k)),k) = Col2{k}(1:min(31,RowSize(k))); % Fill 'Cols' Matrix
end
View_Matrix = Cols
figure
image(Cols.') % Transpose & Plot
colormap(turbo(max(Cols(:))))
colorbar
Ax = gca;
Ax.YDir = 'normal';
xlabel('Days')
ylabel('Cell Index')
title('‘data’')
.
