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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

Concepts

Geospatial Analysis

Authors (2):

Srinivasa Rao Poladi

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

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Working with legend

The legend is the description of each of the graphs on a given axes. Each axis has its own legend. Matplotlib provides many different ways in which a legend can be specified. We will cover as many combinations as possible, though we wont be able to cover a complete set of possibilities in this book.

Getting ready

Import the following required libraries:

import matplotlib as plt
import numpy as np
import matplotlib.patches as mpatches
from numpy.random import randn

How to do it...

The following code block plots 11 different ways a legend can be specified...

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Authors (2)

Srinivasa Rao Poladi

Srinivasa Rao Poladi has been in the IT services industry for over two decades, providing consulting and implementation services in data warehousing, business intelligence, and machine learning areas for global customers. He has worked with Wipro Technologies for two decades and played key leadership roles in building large technology practices and growing them to multi-million $ business. He spoke at international conferences, published many blogs and white papers in the areas of big data, business intelligence, and analytics. He is a co-founder of krtrimaIQ a consulting firm that provides cognitive solutions to create tomorrow's Intelligent Enterprises powered by automation, big data, machine learning, and deep learning.

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See other products by Srinivasa Rao Poladi

Nikhil Borkar

Nikhil Borkar holds a CQF designation and a post Graduate Degree in Quantitative finance. He also holds the Certified Financial Crime examiner and Certified Anti-Money Laundering Professional qualifications. He is a registered Research Analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to Securities and Investments. He is currently working as an independent FinTech and legal consultant. Prior to this, the worked with Morgan Stanley Capital International (MSCI) as a Global RFP Project Manager.

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