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Matplotlib 3.0 Cookbook

You're reading from  Matplotlib 3.0 Cookbook

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789135718
Pages 676 pages
Edition 1st Edition
Languages
Authors (2):
Srinivasa Rao Poladi Srinivasa Rao Poladi
Profile icon Srinivasa Rao Poladi
Nikhil Borkar Nikhil Borkar
Profile icon Nikhil Borkar
View More author details

Table of Contents (17) Chapters

Preface 1. Anatomy of Matplotlib 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

Multi-plot grids

We have already seen some types of multi-plot grids, when we used the row and col variables for various facets of visualization in the Line plots with long form dataset and Point plot recipes earlier in the chapter. However, seaborn provides three sets of predefined grids for different purposes.

jointplot() and JointGrid() enable the creation of three axes/plots as one figure. The main axes is called the joint plot, and the other two are called marginal axes. One of the marginal axes is on top of the joint plot, and the second marginal axes is on the right side of the joint plot. The relationship between the two variables is plotted on the joint plot, and the univariate distribution of each of these two variables is plotted on each of the marginal axes. These functions have various parameters that provide flexibility in choosing the types of graphs on each of...

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