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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

Introduction

Cartopy is a third-party toolkit for plotting geographical maps on top of Matplotlib. Cartopy is expected to replace basemap by 2020. Cartopy has a wide variety of features that allow it to cater to many different user communities. Here we will try to cover most of the features typically used in business enterprises.

Geographical maps are plotted in longitude and latitude, both measured in degrees. Longitude is plotted on x axis, and varies from 180 degrees to the west (-180) to 180 degrees to the east (180). Latitude is plotted on the y axis, and varies from 90 degrees to the south (-90) to 90 degrees to the north (90). Locations on the map are identified with their longitude and latitude values.

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