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

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781801810517

Length 392 pages

Edition 1st Edition

Languages

Julia

Tools

Jupyter

Concepts

Data Visualization

Author (1):

Diego Javier Zea

View More author details

Table of Contents (19) Chapters

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

Graph visualization packages

This section will showcase the basics of visualizing graphs in Julia using the GraphPlot, GraphRecipes, and GraphMakie packages. Other packages aim to plot graphs in Julia that we will not cover in this book; among those, there’s TikzGraphs, SankeyPlots, and EcologicalNetworksPlots. Different packages have different strengths; let’s focus on the three that we will explore in this chapter. First, we have the GraphPlot package, which has a straightforward interface. It has a single function, named gplot, with a few keyword arguments that are useful for quickly visualizing graphs. GraphPlot, similar to Gadfly, uses Compose to render the images. Therefore, it produces nice-looking bi-dimensional plots.

Then, we have the GraphRecipes package, which contains a collection of Plots recipes. You can benefit from the different Plots backends when working with this package. GraphRecipes also offers a function for visualizing graphs: graphplot. This...