Data visualization with Matplotlib
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It provides a MATLAB-like interface for plotting and supports a wide range of plot types: line plots, scatter plots, bar charts, histograms, pie charts, error bars, box plots, and more. The library is highly customizable, allowing control over every aspect of figures (size, dpi, colors, styles, etc.) and axes (limits, scales, ticks, labels, etc.). Matplotlib works well with NumPy and Pandas, making it easy to visualize data from these libraries. The pyplot module provides a convenient interface for creating plots with minimal code, while the object-oriented API offers more control for complex visualizations. Understanding Matplotlib is essential for data exploration, analysis, and presentation. Effective visualizations can reveal patterns, trends, and insights that might not be apparent from raw data alone.