A = readmatrix('your_data.csv'); % Free, no toolbox required [n, m] = size(A); if n ~= m warning('Matrix is not square. Cropping to n x n where n = min(n,m)'); A = A(1:min(n,m), 1:min(n,m)); n = min(n,m); end The correct plot depends on what your matrix represents. a) imagesc – Scaled Image Plot (Best for heatmaps) Ideal for showing magnitude variations across rows and columns.
Happy plotting!
figure('Position', [100 100 900 700]);
% xnxn_matrix_plot_to_pdf.m % Full workflow: generate n x n matrix, plot, export PDF n = 20; % Change to any size A = randn(n) + eye(n)*2; % Random with diagonal dominance
subplot(2,2,3); contourf(A, 15); colorbar; title('Filled contours'); xnxn matrix matlab plot pdf download free
subplot(2,2,2); surf(A); shading interp; title('Surface plot'); xlabel('Col'); ylabel('Row'); zlabel('Val');
% Example customization figure('Position', [100 100 800 600]); % Size in pixels imagesc(A); colormap(flipud(brewermap(256, 'RdYlBu'))); % Free 'brewermap' from File Exchange h = colorbar; h.Label.String = 'Matrix Value'; clim([min(A(:)) max(A(:))]); % Set color limits % Font sizes set(gca, 'FontSize', 12, 'FontName', 'Times New Roman'); title('Heatmap of 15x15 Random Matrix', 'FontSize', 14, 'FontWeight', 'bold'); xlabel('Column Number'); ylabel('Row Number'); A = readmatrix('your_data
figure; imagesc(A); colormap(jet); % or parula, hot, cool, etc. colorbar; title(sprintf('%d x %d Matrix Visualization', n, n)); xlabel('Column index'); ylabel('Row index'); axis equal tight; figure; surf(A); shading interp; % smooths the surface colormap(parula); colorbar; title('3D Surface of n x n Matrix'); xlabel('Column'); ylabel('Row'); zlabel('Value'); c) mesh – Wireframe Mesh (lighter, less occluded) figure; mesh(A); colormap(autumn); title('Mesh Plot of n x n Matrix'); d) contourf – Filled Contours (for level sets) figure; contourf(A, 20); % 20 contour levels colormap(viridis); colorbar; title('Filled Contour Plot'); e) spy – Sparse Matrix Pattern (for binary/sparse matrices) S = sprand(n, n, 0.1); % 10% non-zero figure; spy(S); title('Sparse Matrix Pattern (Spy Plot)'); 3. Customizing Your Plot for Publication Quality Before exporting to PDF, ensure the plot is readable.