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

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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

Writing plotting recipes for Makie

Makie also offers a lightweight recipe system thanks to the MakieCore package. This package only depends on the Observables package to allow interactivity. As of MakieCore version 0.3.5, Makie provides two kinds of recipes: type and full recipes. Type recipes in Makie are similar to the ones of Plots, as they can convert a user-defined type into something Makie can plot. They also allow us to specify the default plot type for that custom type. Full recipes in Makie, on the other hand, are like Plots’ series recipes. Makie uses this full recipe to define many plot types, such as hlines and vlines. Sadly, they do not offer a high-level API to control the plot layout as Plots’ plot recipes do.

Type recipes are defined thanks to the convert_arguments function. When Makie calls the plot function with an unknown type, it will try to convert it into something it can plot by calling that function using a PlotType; for example, Scatter, in...