Pygal is a Python library for creating interactive and scalable charts and data visualizations. It supports different chart types and generates visualizations in formats such as SVG. Some of its key advantages are:
- Interactive Charts: Generates interactive SVG charts that support features like tooltips and legends in web browsers.
- Lightweight and Easy to Use: Provides a simple API for creating charts without requiring extensive configuration.
- Highly Customizable: Offers built-in options to customize colors, labels, titles, legends, fonts, and chart styles.
- Wide Variety of Charts: Supports multiple chart types, including bar, line, pie, radar, box, dot, funnel, gauge, treemap, and more.
Introduction
Learn the basics of Pygal, including installation, creating charts and understanding how SVG-based visualizations work.
Basic Charts
Create commonly used charts to visualize different types of data. This section covers the implementation of the most frequently used chart types in Pygal.
- Line Chart
- Stacked Line Chart
- Time Series Chart
- Bar Chart
- Stacked Bar Chart
- Histogram
- Scatter Plot
- Pie Chart
- Multi-series Pie Chart
- Donut Chart
- Half Pie Chart
Specialized Charts
Visualize complex datasets using Pygal's specialized chart types designed for comparisons, distributions, and hierarchical data.
Chart Customization
Customize the appearance and layout of charts to create clear and visually appealing visualizations.