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Interactive Visualization and Plotting with Julia

You're reading from   Interactive Visualization and Plotting with Julia Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801810517
Length 392 pages
Edition 1st Edition
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Author (1):
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Diego Javier Zea Diego Javier Zea
Author Profile Icon Diego Javier Zea
Diego Javier Zea
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Table of Contents (19) Chapters Close

Preface 1. Section 1 – Getting Started
2. Chapter 1: An Introduction to Julia for Data Visualization and Analysis FREE CHAPTER 3. Chapter 2: The Julia Plotting Ecosystem 4. Chapter 3: Getting Interactive Plots with Julia 5. Chapter 4: Creating Animations 6. Section 2 – Advanced Plot Types
7. Chapter 5: Introducing the Grammar of Graphics 8. Chapter 6: Creating Statistical Plots 9. Chapter 7: Visualizing Graphs 10. Chapter 8: Visualizing Geographically Distributed Data 11. Chapter 9: Plotting Biological Data 12. Section 3 – Mastering Plot Customization
13. Chapter 10: The Anatomy of a Plot 14. Chapter 11: Defining Plot Layouts to Create Figure Panels 15. Chapter 12: Customizing Plot Attributes – Axes, Legends, and Colors 16. Chapter 13: Designing Plot Themes 17. Chapter 14: Designing Your Own Plots – Plot Recipes 18. Other Books You May Enjoy

Working with themes

In this chapter, we will work with plot themes using Plots, Makie, and Gadfly. These packages define themes by using the default value for each attribute. In fact, for them, a theme is a set of default attribute values we can reuse. The attributes we can determine using themes change from package to package. Still, usually, we can set colors and fonts for all of them. When looking for plot attributes to customize, you will find it helpful to look at Chapter 10, The Anatomy of a Plot, and Chapter 12, Customizing Plot Attributes – Axes, Legends, and Colors.

There are many reasons we could find it interesting to change the package’s default theme; one classic example is to match the style of our IDE. Sometimes, it could be helpful to do it just to fit a personal or professional brand style. In other cases, we could find it beneficial to make our plot style closer to one from another library. Let’s imagine we are using Julia to create the figures...

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