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Matplotlib 3.0 Cookbook

You're reading from   Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789135718
Length 676 pages
Edition 1st Edition
Languages
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Authors (2):
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Nikhil Borkar Nikhil Borkar
Author Profile Icon Nikhil Borkar
Nikhil Borkar
Srinivasa Rao Poladi Srinivasa Rao Poladi
Author Profile Icon Srinivasa Rao Poladi
Srinivasa Rao Poladi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Anatomy of Matplotlib FREE CHAPTER 2. Getting Started with Basic Plots 3. Plotting Multiple Charts, Subplots, and Figures 4. Developing Visualizations for Publishing Quality 5. Plotting with Object-Oriented API 6. Plotting with Advanced Features 7. Embedding Text and Expressions 8. Saving the Figure in Different Formats 9. Developing Interactive Plots 10. Embedding Plots in a Graphical User Interface 11. Plotting 3D Graphs Using the mplot3d Toolkit 12. Using the axisartist Toolkit 13. Using the axes_grid1 Toolkit 14. Plotting Geographical Maps Using Cartopy Toolkit 15. Exploratory Data Analysis Using the Seaborn Toolkit 16. Other Books You May Enjoy

Using AxesDivider to plot a scatter plot and associated histograms

In this recipe, we will learn how to use the AxesDivider class of axes_grdi1 to draw a bivariate plot on the main axes, and two univariate plots, on any two sides of the main axes. This helps in visualizing the relationship between two variables, and the distribution of the same two variables individually all in one figure (though three different axes/plots).

Technically, variables plotted on the main axes and univariate plots on the two sides of the main axes can be different. And you can choose any two sides out of the four sides of the main axes for univariate plots. However, the usual practice is to plot on the top and the right side of the main axes.

In this recipe, we will plot a scatter graph on the main axes with two variables, and at the top and right-hand side of the main axes, we will plot a histogram...

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