• Data Visualization

    Overlaying Rectangles on Images with Matplotlib

    Matplotlib is a versatile Python library renowned for its data visualization capabilities. Beyond plotting data, it excels at image manipulation, allowing you to overlay shapes directly onto images. This tutorial demonstrates how to efficiently add rectangles to images using Matplotlib. Table of Contents Drawing Rectangles in Matplotlib Overlaying Rectangles on…

  • Data Visualization

    Mastering Matplotlib Legends: A Comprehensive Guide to Font Size Control

    Matplotlib is a powerful Python library for creating visualizations. Legends are essential for clarity, and controlling their appearance, especially font size, is crucial for effective communication. This article explores multiple methods to adjust legend font sizes in your Matplotlib plots, empowering you to create visually appealing and easily understandable graphs.…

  • Data Visualization

    Mastering Legend Placement in Matplotlib

    Matplotlib is a powerful Python library for creating visualizations, but sometimes the default legend placement can clutter your plots. This article demonstrates effective methods for placing legends outside the plot area for improved readability. Table of Contents Using bbox_to_anchor for Legend Placement Preventing Cropped Legends with bbox_extra_artists and bbox_inches Using…

  • Data Visualization

    Mastering Horizontal and Vertical Lines in Matplotlib Plots

    Matplotlib is a powerful Python library for creating visualizations. Adding horizontal and vertical lines to your plots can significantly improve clarity by highlighting data points, thresholds, or regions of interest. This article demonstrates two effective methods for achieving this: using axhline/axvline and hlines/vlines. Table of Contents Using axhline and axvline…