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Matplotlib 3.0 Cookbook

You're reading from   Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789135718
Length 676 pages
Edition 1st Edition
Languages
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Authors (2):
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 Poladi Poladi
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Poladi
 Borkar Borkar
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Borkar
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Table of Contents (17) Chapters Close

Preface 1. Anatomy of Matplotlib 2. Getting Started with Basic Plots FREE CHAPTER 3. Plotting Multiple Charts, Subplots, and Figures 4. Developing Visualizations for Publishing Quality 5. Plotting with Object-Oriented API 6. Plotting with Advanced Features 7. Embedding Text and Expressions 8. Saving the Figure in Different Formats 9. Developing Interactive Plots 10. Embedding Plots in a Graphical User Interface 11. Plotting 3D Graphs Using the mplot3d Toolkit 12. Using the axisartist Toolkit 13. Using the axes_grid1 Toolkit 14. Plotting Geographical Maps Using Cartopy Toolkit 15. Exploratory Data Analysis Using the Seaborn Toolkit 16. Other Books You May Enjoy

Introduction

GUI in itself is a very large subject, and each GUI framework/tool kit requires a separate book to cover it holistically. So, a detailed discussion of each of the GUI framework's features is beyond the scope of this book. The objective here is to demonstrate how certain GUI frameworks can leverage Matplotlib's visualization capabilities.

In the previous chapter, we learned how to use events, widgets, and animation using three Graphical User Interface (GUI) frameworks Tkinter, wxPython, and Qt as backends. There, we used these backend GUI only for display purposes, so the same code of Matplotlib could be used across all GUI frameworks, by just switching the backend.

In this chapter, we will learn one more feature of interactive plotting, embedding Matplotlib in GUI, using the same three GUI frameworks. First, we will learn how to leverage a few features of...

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