Data
Reader small image

You're reading from  Matplotlib 2.x By Example

Product typeBook
Published inAug 2017
PublisherPackt
ISBN-139781788295260
Edition1st Edition
Tools
Matplotlib
Concepts
Data Visualization
Right arrow
Authors (3):
Allen Yu
Allen Yu
author image
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.
Read more about Allen Yu

Claire Chung
Claire Chung
author image
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.
Read more about Claire Chung

Aldrin Yim
Aldrin Yim
author image
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.
Read more about Aldrin Yim

View More author details
Right arrow

Non-interactive backends

The code for plotting graphs is considered the frontend in Matplotlib terminology. We first mentioned backends in Chapter 1, Hello Plotting World!, when we were talking about output formats. In reality, Matplotlib backends differ much more than just in the support of graphical formats. Backends handle so many things behind the scenes! And that determines the support for plotting capabilities. For example, LaTeX text layout is only supported by AGG, PDF, PGF, and PS backends.

We have been using non-interactive backends so far, which include AGG, Cairo, GDK, PDF, PGF, PS, and SVG. Most of these backends work without extra dependencies, yet Cairo and GDK would require the Cairo graphics library or GIMP Drawing Kit, respectively, to work.

Non-interactive backends can be further classified into two groups--vector and raster. Vector graphics describe images in terms of points, paths, and shapes that are calculated using mathematical formulas. A vector graphic will always...

lock icon
The rest of the page is locked
Previous Page
Chapter 13 of 15, Page 3
Next Page
You have been reading a chapter from
Matplotlib 2.x By Example
Published in: Aug 2017Publisher: PacktISBN-13: 9781788295260
© 2017 Packt Publishing Limited All Rights Reserved

Authors (3)

author image
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.
Read more about Allen Yu

author image
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.
Read more about Claire Chung

author image
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.
Read more about Aldrin Yim

Other recommended products

Related to this chapter

Matplotlib for Python Developers

Matplotlib for Python Developers

This book is a useful resource to perform data visualization with Python using the latest version of Matplotlib (2.1.x). You will create a variety of graphs and charts, and embed your plots within different third party tools. By the end of the book, you will build attractive, insightful and powerful visualizations to make better sense of your data.

BookApr 2018300 pages
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

BookNov 2018214 pages
Data Visualization with Python for Beginners

Data Visualization with Python for Beginners

Utilizing tools and operations from several major libraries, this book will teach you to visualize data with Python comfortably and confidently in no time at all.

BookMar 2021280 pages
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.

BookOct 2018676 pages
Become a Python Data Analyst

Become a Python Data Analyst

Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.

BookAug 2018178 pages
The Data Visualization Workshop

The Data Visualization Workshop

Cut through the noise and get real results with a step-by-step approach to learning data visualization with Python

BookFeb 2020480 pages
Data Visualization with Python

Data Visualization with Python

With so much data being continuously generated, developers with a knowledge of data analytics and data visualization are always in demand. With Data Visualization with Python, you'll learn how to use Python with NumPy, Pandas, Matplotlib, and Seaborn to create impactful data visualizations with a real world, public data.

BookFeb 2019368 pages
The Data Visualization Workshop

The Data Visualization Workshop

The Data Visualization Workshop will help you get started with data visualization, giving you the confidence to choose the best visualization technique to suit your needs. Fun activities and exercises featured throughout the book will keep you engaged as you build interactive visualizations with real data.

BookJul 2020536 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages