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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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Nikhil Borkar Nikhil Borkar
Author Profile Icon Nikhil Borkar
Nikhil Borkar
Srinivasa Rao Poladi Srinivasa Rao Poladi
Author Profile Icon Srinivasa Rao Poladi
Srinivasa Rao Poladi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Anatomy of Matplotlib FREE CHAPTER 2. Getting Started with Basic Plots 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

Using the Slider and Button Widgets of Matplotlib

We learned about the Button widget of Matplotlib in the previous chapter, but Slider is a new widget that we will learn here. However, the objective of this recipe is to demonstrate how a Matplotlib widget application can be used across GUI frameworks without any code changes, by just changing the backend. We will also use the same polar plot across all the GUI frameworks, so that we can see the difference in the way they work, rather than getting lost in the details of the plot itself!

We will use the Slider to determine the number of leaves to be plotted in the polar plot. Each time the Slider is dragged, the value of the Slider is taken to plot that many leaves in the plot.

We will use the Quit Button to exit the application by closing the figure and window objects.

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