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How to Plot Multiple Graphs in MATLAB Without Overlapping

Learn how to plot multiple graphs in MATLAB without overlapping them in the same figure. Discover techniques to manage multiple plots effectively using MATLAB's functions. --- Disclaimer/Disclosure: Some of the content was synthetically produced using various Generative AI (artificial intelligence) tools; so, there may be inaccuracies or misleading information present in the video. Please consider this before relying on the content to make any decisions or take any actions etc. If you still have any concerns, please feel free to write them in a comment. Thank you. --- MATLAB is a powerful tool widely used for analysis and data visualization. One common requirement is plotting multiple graphs for better clarity and comparison. Here’s a guide on how you can plot multiple graphs in MATLAB without having them overlap in the same figure. Using figure Command The simplest way to avoid overlapping plots is to use the figure command. Each call to figure creates a new figure window, thereby avoiding overlap: [[See Video to Reveal this Text or Code Snippet]] Subplots Another approach is to use the subplot function, which divides the figure window into a grid of sub-sections, allowing each section to contain a different plot: [[See Video to Reveal this Text or Code Snippet]] This will create two plots side by side in the same figure window. Handling Overlap with hold Off If you use hold on to overlay multiple plots in the same axes, you might want to use hold off to ensure subsequent plots do not overlap: [[See Video to Reveal this Text or Code Snippet]] Using these techniques ensures your graphs remain distinct and easier to analyze. MATLAB’s plotting capabilities allow for great flexibility; whether using separate figures, subplots, or managing overlap with hold on/off, you can keep your data visualizations clear and organized. Conclusion Plotting multiple graphs in MATLAB without overlapping is straightforward. Using figure, subplot, and managing hold states are effective strategies. Mastering these techniques simplifies your data analysis, ensuring clarity and precision in your visualizations.