🔥 Huge cheat sheet for plotting in Matplotlib with code examples

📊 Matplotlib is a powerful plotting library in Python used for creating static, animated, and interactive visualizations.

Main features of Matplotlib:
💬 Versatility: can generate a wide range of plots including line plots, scatter plots, bar charts, histograms, and pie charts.

💬 Customization: offers extensive options to control every aspect of the plot such as line styles, colors, markers, labels, and annotations.

💬 Integration with NumPy: easily integrates with NumPy, simplifying plotting of data arrays directly.

💬 Publication quality: creates high-quality plots suitable for publication, with precise control over aesthetics.

💬 Extensibility: easily extended with a large ecosystem of additional toolkits and extensions, such as Seaborn and Pandas plotting functions.

💬 Cross-platform: platform-independent and can run on various operating systems including Windows, macOS, and Linux.

💬 Interactive plots: supports interactive plotting with widgets and event handling, allowing users to dynamically explore data.

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Matplotlib Cheatsheet (⭐️⭐️⭐️⭐️⭐️)

https://t.me/CodeProgrammer 😡