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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

Creating layouts with Plots

We already saw a little introduction to layouts using Plots in the Simple layouts section of Chapter 1, An Introduction to Julia for Data Visualization and Analysis. In particular, we have seen that Plots automatically composes a figure when we pass multiple plots into the plot function. We have learned how to gain more control over the final subplot placement using the layout attribute of the plot function. To help us arrange the subplots, we saw how to create a grid layout using the grid function. We also learned to use the grid function’s widths and heights keyword arguments. These arguments define the relative proportion of the final figure assigned to each cell of the grid layout. Finally, in that section, we saw that we can use the link keyword argument of plot to match the axis across subplots.

Then, we introduced more complex layout topics in The anatomy of a Plots plot section of Chapter 10, The Anatomy of a Plot. Specifically, we introduced...

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