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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

Heatmap

A heatmap is used to visualize data range in different colors with varying intensity. Here, we take the example of plotting a correlation matrix as a heatmap. Elements of the correlation matrix indicate the strength of a linear relationship between the two variables, and the matrix contains such values for all combinations of the attributes in the given data. If the data has five attributes, then the correlation matrix will be a 5 x 5 matrix.

Getting ready

We will use the Wine Quality dataset for this example also. It has 12 different attributes. We will first get a correlation matrix and then plot it as a heatmap. There is no heatmap function/method as such, so we will use the same imshow method that we used to read...

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