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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 ImageGrid to plot images with a colorbar in a grid

In Chapters 3, Plotting Multiple Graphs, Subplots and Figures and Chapter 6, Plotting with Advanced Features, we had learned how to draw multiple plots on a grid with various grid options. When you try to plot images with a colorbar on a grid with those options, the colorbar alignment may not be the way we want it. The ImageGrid helper function of the axes_grid1 toolkit enables the plotting of images with a colorbar in a grid with proper alignment. We will learn how to use these functions in this recipe.

We will plot the same correlation map in three different plots in a row, but use different features of the grid to demonstrate most, if not all, of the available features.

Getting ready

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