Packt+ | Advance your knowledge in tech

0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Matplotlib for Python Developers

You're reading from Matplotlib for Python Developers Effective techniques for data visualization with Python

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788625173

Length 300 pages

Edition 2nd Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Authors (3):

Claire Chung

Aldrin Yim

Allen Yu

View More author details

Table of Contents (16) Chapters

Title Page

Dedication

Packt Upsell

Contributors

Preface

1. Introduction to Matplotlib FREE CHAPTER

2. Getting Started with Matplotlib

3. Decorating Graphs with Plot Styles and Types

4. Advanced Matplotlib

5. Embedding Matplotlib in GTK+3

6. Embedding Matplotlib in Qt 5

7. Embedding Matplotlib in wxWidgets Using wxPython

8. Integrating Matplotlib with Web Applications

9. Matplotlib in the Real World

10. Integrating Data Visualization into the Workflow

Index

Geographical plotting

To demonstrate the power of Matplotlib with third-party packages, we will illustrate its usage in spatial analysis. Since the invention of satellites, a myriad of useful Geographics Information System (GIS) data has been generated to facilitate various analyses, from natural phenomena to human activities.

To utilize this data, there are common Python packages integrated with Matplotlib to show spatial data on a map, such as Basemap, GeoPandas, Cartopy, and Descartes. In this final section of the chapter, we will briefly introduce the usage of the first two packages.

Basemap

Basemap is among the most popular Matplotlib-based plotting toolkits to plot over world maps. It is a handy way to show any geographical location.

To install Basemap, do this:

Unpack in $Python3_dir/site-packages/mpl_toolkits
Enter the Basemap installation directory: cd $basemap_dir
Enter the geos directory in the Basemap directory: cd $basemap/geos-3.3.3
Install the GEOS library via ./configure, make, and...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at £13.99/month. Cancel anytime

Authors (3)

Aldrin Yim

Aldrin Yim

Aldrin Yim is a PhD candidate and Markey Scholar in the Computation and System Biology program at Washington University, School of Medicine. His research focuses on applying big data analytics and machine learning approaches in studying neurological diseases and cancer. He is also the founding CEO of Codex Genetics Limited, which provides precision medicine solutions to patients and hospitals in Asia.

See other products by Aldrin Yim

Claire Chung

Claire Chung

Claire Chung is pursuing her PhD degree as a Bioinformatician at the Chinese University of Hong Kong. She enjoys using Python daily for work and lifehack. While passionate in science, her challenge-loving character motivates her to go beyond data analytics. She has participated in web development projects, as well as developed skills in graphic design and multilingual translation. She led the Campus Network Support Team in college, and shared her experience in data visualization in PyCon HK 2017.

See other products by Claire Chung

Allen Yu

Allen Yu

Allen Yu, PhD, is a Chevening Scholar, 2017-18, and an MSC student in computer science at the University of Oxford. He holds a PhD degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years of bioinformatics experience. Apart from academic research, Allen is the co-founder of Codex Genetics Limited, which aims to provide a personalized medicine service in Asia through the use of the latest genomics technology.

See other products by Allen Yu

Other recommended products

Related to this chapter

Matplotlib 2.x By Example

Matplotlib 2.x By Example

Big data analytics are driving innovations in scientific research, digital marketing, policymaking and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customizations, which help resolve the complexity in Big data visualization. “Matplotlib 2.x By Example” illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic knowhow on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts. By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization.

Aug 2017 11h 8m

Matplotlib 3.0 Cookbook

Matplotlib 3.0 Cookbook

This book presents highly practical, ready to implement recipes on using Python's Matplotlib package for effective data visualization. It contains quick solutions to the common and not-so-common problems encountered while designing different types of visualizations, including histograms, bar plots, and other advanced charts.

Oct 2018 22h 32m

Mastering Matplotlib 2.x

Mastering Matplotlib 2.x

Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

RAG-Driven Generative AI

RAG-Driven Generative AI

Explore the transformative potential of RAG-driven LLMs, computer vision, and generative AI with this comprehensive guide, from basics to building a complex RAG pipeline

Sep 2024 11h 8m

Building AI Intensive Python Applications

Building AI Intensive Python Applications

Unlock the power of generative AI with LLMs, vector databases, Python, and MongoDB. Build intelligent apps, master retrieval-augmented generation, optimize models, and explore real-world use cases.

Sep 2024 9h 56m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.

Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

With its practical approach and real-world examples, this essential resource explores the full potential of Elastic Stack for data-driven projects. Learn how to build scalable and efficient data analytics and search solutions using Elastic Stack.

Jun 2024 22h 56m

Google Machine Learning and Generative AI for Solutions Architects

Google Machine Learning and Generative AI for Solutions Architects

Whether you are relatively new to AI/ML or an experienced solutions architect working to address emerging business challenges, this book covers everything you need to design, implement, and manage complex AI/ML workloads on Google Cloud.

Jun 2024 18h 24m

Generative AI with Amazon Bedrock

Generative AI with Amazon Bedrock

This book provides a hands-on approach to building generative AI applications at scale, covering several architectural patterns and use cases to help you solve business problems and innovate within your organization.

Jul 2024 12h 48m