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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

Introduction

The primary motivation for developing the axisartist toolkit is to support curvilinear grids, such as those used for plotting planetary systems in astronomy. It helps in plotting graphs with curved axes on both rectangular and polar axes, and can also assist in plotting graphs with floating axes.

axisartist uses a custom Axes class derived from the main Axes class of Matplotlib, where each axis (left, bottom, top, and right) is managed by a separate artist. They are accessed by ax.axis["left"], ax.axis["bottom"], ax.axis["top"], and ax.axis["right"], since ax.axis acts like a dictionary. We can also define additional axes as required.

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