Python Data Visualization with Matplotlib 2.x
Design effective charts and info graphics with Matplotlib 2.x
Created by Allen Yu, Claire Chung, Aldrin Yim
Unlock the full potential of your data by learning how to create clear and engaging visualizations using Matplotlib. Explore a wide range of chart types and customization options, and discover how to turn complex datasets into meaningful insights. Build practical skills for presenting data in a way that resonates with your audience.
Packt | Oct 2017 | 252 min
What You Will Learn
You will start by creating and customizing basic plots, then move on to more advanced visualizations such as 3D charts and interactive graphics. Real-world examples and hands-on exercises help you apply each concept, from working with economic and geographic data to designing infographics that tell a compelling story.
Key Features
- Build and customize 2D and 3D charts, including bar, scatter, and heat maps
- Visualize geographic and time-based data using Python and Matplotlib tools
- Create interactive and publication-ready graphics for reports and presentations
Target Audience
Ideal for data analysts, scientists, and anyone with a basic understanding of Python who wants to communicate data more effectively. If you are looking to enhance your data visualization skills for research, business, or presentations, you will find practical techniques and tools to elevate your work.
