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Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating…
Matplotlib Overview Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating publication-quality visualizations. When to Use This Skill This skill should be used when: Creating any type of plot or chart (line, scatter, bar, histogram, heatmap, contour, etc.) Generating scientific or statistical visualizations Customizing plot appearance (colors, styles, labels, legends) Creating multi-panel figures with subplots Exporting visualizations to various formats (PNG, PDF, SVG, etc.) Building interactive plots or animations Working with 3D visualizations Integrating plots into Jupyter notebooks or GUI applications Core Concepts
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