Matplotlib for Python Developers Second Edition

Effective techniques for data visualization with Python

Aldrin Yim , Claire Chung , Allen Yu 지음

Packt(GCO Science) 2018년 04월 24일 출간

작품소개

책소개

-

목차

▶TABLE of CONTENTS
1: INTRODUCTION TO MATPLOTLIB
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

책 속으로

▶What this book covers
？ Chapter 1, Introduction to Matplotlib, gets you familiar with the capabilities and functionalities of Matplotlib.
？ Chapter 2, Getting Started with Matplotlib, gets you started with basic plotting techniques using Matplotlib syntax.
？ Chapter 3, Decorating Graphs with Plot Styles and Types, shows how to beautify your plots and select the right kind of plot that communicates your data effectively.
？ Chapter 4, Advanced Matplotlib, teaches you how to group multiple relevant plots into subplots in one figure using nonlinear scales, axis scales, plotting images, and advanced plots with the help of some popular third-party packages.
？ Chapter 5, Embedding Matplotlib in GTK+3, shows examples of embeding Matplotlib in applications using GTK+3.
？ Chapter 6, Embedding Matplotlib in Qt 5, explains how to embed a figure in a QWidget, use layout manager to pack a figure in a QWidget, create a timer, react to events, and update a Matplotlib graph accordingly. We use QT Designer to draw a simple GUI for Matplotlib embedding.
？ Chapter 7, Embedding Matplotlib in wxWidgets Using wxPython, shows how you can use Matplotlib in the wxWidgets framework, particularly using wxPython bindings.
？ Chapter 8, Integrating Matplotlib with Web Applications, teaches you how to develop a simple site that displays the price of Bitcoin.
？ Chapter 9, Matplotlib in the Real World, begins our journey of understanding more advanced Matplotlib usage through real-world examples.
？ Chapter 10, Integrating Data Visualization into the Workflow, covers a mini-project combining the skills of data analytics with the visualization techniques you have learned.

출판사 서평

▶Editorial Review
Python is a general-purpose programming language that's increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python that's used to design effective plots and graphs. This book is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library.

This book shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to the third-party packages Seaborn, pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you'll embed and customize your plots in third-party tools such as GTK+, Qt 5, and WXWIDGETS.

You'll also be able to tweak the look and feel of your visualization with the help of the practical examples provided in this book. Further on, you'll explore Matplotlib 2.1.x on the web from a cloud-based platform using third-party packages such as Flask and Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.

By the end of this book, you'll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x, and leverage its power to build attractive, insightful, and powerful visualizations.

작가정보

저자(글) 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.

저자(글) 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.

저자(글) 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.