Matplotlib for Storytellers
Matplotlib for Storytellers
Python Data Visualization
About the Book
About
This book is written for frustrated and reluctant matplotlib users who care about crafting good data visuals. Matplotlib can be a blank canvas, offering more room for customization than you might find in Microsoft Excel, and offers the advantages of reproducibility and automation that come from working with Python. Still, becoming comfortable with matplotlib requires a lot of patience. I wrote this book to help make that easier and put some essentials in one place.
This book itself doesn't show you how to make particular chart types. The idea is you already have a bar chart, line plot, histogram, etc, but that it's ugly. The book helps you figure out how to beautify your charts and helps make those steps seem less mysterious.
GitHub
Find more, code and demos, on the accompanying GitHub repo.
Contents (not all included in current draft)
- The Object-oriented Interface
- Axes Appearance, Ticks, and Grids
- Elements and Coordinate Systems
- Text and Titles
- Dates
- Colors
- Multiple Axes and Plots
- Style and Configuration
- Math Interlude
- Math Interlude - Applications
- Artist Objects
- Artist Objects - Applications
- Special Topics - Multi-dimensional Scaling
- Special Topics - Intro Stats Graphs
- Special Topics - Ternary Plots
About the Author
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