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)

Introduction

For interactive plotting, the usual %matplotlib inline does not work as it outputs a static figure to the screen. We need to use one of the backends supported by Matplotlib. You may recall that the backend is the lowermost layer of Matplotlib architecture where the output figure created by Matplotlib is sent for display. There are two types of backends: one allows users to interact with the output and is used in interactive plotting, and the other is used to save figures for printing or embedding into other applications.

All the recipes in this chapter are tested with the following backends:

  • nbAgg
  • Qt5Agg
  • TkAgg
  • WXAgg

We have observed that a few features do not work with some of these backends.

Use one of the following options to activate any of these backends:

import matplotlib
matplotlib.use('nbAgg')

Or use this:

import matplotlib.pyplot as plt
plt.switch_backend...