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)

Developing Interactive Plots

Interactive plotting is a very large subject; there are multiple books that cover various aspects of it. In this chapter, we will cover three distinct areas, with key recipes in each of them, as follows:

  • Events and callbacks:
    • Exception handling
    • Key press and release events for making the legend visible/invisible with hold time
    • Button press event for zooming
    • Motion notification and button press events for tracking coordinates
    • Pick event for making an artist active upon picking its legend label
    • Figure and axes enter and leave events for changing face colors and making artists visible/invisible
    • Using twin axes for plotting four temperature scales
  • Widgets:
    • Cursor
    • Button
    • Check buttons
    • Radio buttons
    • Textbox
  • Animation:
    • Animated sigmoid
    • Saving an animation to an MP4 file
    • Exponentially decaying the tan function
    • Animated bubble plot
    • Animation of multiple...