Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python by Srinivasa Rao Poladi
Build attractive, insightful, and powerful visualizations to gain quality insights from your data
Key Features- Master Matplotlib for data visualization
- Customize basic plots to make and deploy figures in cloud environments
- Explore recipes to design various data visualizations from simple bar charts to advanced 3D plots
Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7.
With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. Once you've familiarized yourself with the fundamentals, you'll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You'll annotate and add rich text to the plots, enabling the creation of a business storyline. In addition to this, you'll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits, such as axisartist, axes_grid, Cartopy, and Seaborn.
By the end of this book, you'll be able to create high-quality customized plots and deploy them on the web and on supported GUI applications such as Tkinter, Qt 5, and wxPython by implementing real-world use cases and examples.
What you will learn- Develop simple to advanced data visualizations in Matplotlib
- Use the pyplot API to quickly develop and deploy different plots
- Use object-oriented APIs for maximum flexibility with the customization of figures
- Develop interactive plots with animation and widgets
- Use maps for geographical plotting
- Enrich your visualizations using embedded texts and mathematical expressions
- Embed Matplotlib plots into other GUIs used for developing applications
- Use toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of Matplotlib
The Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. This book is also for those who want to build variations of interactive visualizations.