Customizing Plots for Clarity (Titles, Labels, Legends)
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Matplotlib Legend Guide, Matplotlib Developers, 2024 (Matplotlib Developers) - A tutorial explaining how to create, customize, and place legends effectively in Matplotlib plots, which is crucial for distinguishing data series.
Matplotlib Text in Matplotlib, Matplotlib Developers, 2024 - Covers adding and customizing various text elements, including plot titles, axis labels, and annotations, to enhance the readability of visualizations.
Customizing plots (Seaborn documentation), Michael Waskom, 2024 (Michael Waskom) - Demonstrates how to adjust various visual properties of Seaborn plots, including how Matplotlib functions are used for setting titles, labels, and legends.
Python Data Science Handbook: Essential Tools for Working with Data, Jake VanderPlas, 2016 (O'Reilly Media) - A comprehensive guide to data science in Python, with dedicated sections on Matplotlib and Seaborn for data visualization, covering customization options in detail.