Book Image

Matplotlib 3.0 Cookbook

By : Srinivasa Rao Poladi, Nikhil Borkar
Book Image

Matplotlib 3.0 Cookbook

By: Srinivasa Rao Poladi, Nikhil Borkar

Overview of this book

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.
Table of Contents (17 chapters)

Preface

In the era of big data, finding valuable business insights is akin to finding a needle in a haystack. Visualization plays a critical role in finding those nuggets from an ever-increasing volume and variety of data. Matplotlib, with its rich visualization functionality, makes the process of exploratory data analysis user friendly and more productive.

Matplotlib's core functionality is vast, and it is further enhanced by many in-house and third-party toolkits. Many of the books on the market cover only a small portion of its complete functionality. In this book, we have covered Matplotlib's complete core functionality and many of its popular toolkits.

Matplotlib is popular among machine learning practitioners and researchers who use the Python ecosystem. With its rich functionality, it can be used in business intelligence and operational reporting applications. In this book, we have made an attempt to present examples from these applications.

While a recipe-based cookbook approach makes this book a reference guide for quick solutions, we have covered sufficient theoretical background to make it easy for beginners as well.