: Creates a 3D shaded surface plot. This is ideal for viewing the "topography" of your matrix values.
Use data(1:10:end, 1:10:end) to plot every 10th pixel.
– Treating matrix entries as heights on a 3D surface. surf(A); or mesh(A); xnxn matrix matlab plot pdf download
n = 50; % Create a random sparse matrix with density 0.02 sparseMatrix = sprand(n, n, 0.02);
Example: A 5x5 matrix (n=5):
set(gcf, 'Visible', 'off'); % ... plotting commands ... exportgraphics(gcf, 'output.pdf'); close(gcf);
avg_val = mean(X(:)); max_val = max(X(:)); min_val = min(X(:)); annotation('textbox', [0.15, 0.8, 0.3, 0.1], ... 'String', sprintf('Mean: %.2f | Max: %.2f | Min: %.2f', avg_val, max_val, min_val), ... 'FontSize', 10, 'BackgroundColor', 'white'); : Creates a 3D shaded surface plot
% Option 2: Magic Square M = magic(n);