You have learned to generate various plots using Matplotlib and Seaborn. Default plots, while functional, often require adjustments to improve clarity, communicate specific insights effectively, or match presentation requirements. This chapter focuses on refining the appearance of your visualizations and preparing them for use outside your coding environment.

You will learn how to add explanatory text and annotations directly onto your plots. We will cover methods for controlling the position and style of legends. Additionally, you will learn techniques for adjusting the overall figure size and managing the layout, particularly when working with multiple subplots. We will also briefly touch upon Matplotlib's object-oriented interface for more detailed control. Finally, you will learn the practical steps for saving your plots into different file formats like PNG, JPG, PDF, and SVG, suitable for reports, presentations, or web integration, and understand the differences between format types.