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

Customizing the axes

In the previous section, we saw how to customize the text elements of the axes. In this section, we will learn about the Plots attributes to customize other aspects of the axes, except those determining the colors, as we will discuss them later in this chapter. Look at the Axis type documentation to gain insight into the Makie attributes to customize 2D axes.

All the Plots attributes we mention in this section modify all axes simultaneously. You need to use the x, y, or z prefix to alter the attribute of a particular axis. For example, scale=:log10 will make all axes have a logarithmic scale, while xscale=:log10 will set such a scale only for the x axis. Among the attributes specifying the axis aspects, we can find the following:

scale: By default, Plots sets this attribute to :identity, to use the standard linear scale. Then, depending on the backend, other scales are supported. To use a logarithmic scale, you can choose from :ln, :log2, and :log10...