Matplotlib for Python Developers,2nd Edition

Matplotlib for Python Developers Second Edition Book Cover
Matplotlib for Python Developers,Second Edition
by: Aldrin Yim - Allen Yu - Claire Chung
ISBN-10 书号: 178862517X
ISBN-13 书号: 9781788625173
Edition 版次: 2nd Revised edition
Release Finelybook 出版日期: 2018-04-25
pages 页数: 300


Book Description
Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical,hands-on resource to help you visualize data with Python using the Matplotlib library.
Matplotlib for Python Developers,Second Edition shows you how to create attractive graphs,charts,and plots using Matplotlib. You will also get a quick introduction to 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+3,Qt 5,and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of 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 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 leveraging its power to build attractive,insightful,and powerful visualizations.
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
What You Will Learn
Create 2D and 3D static plots such as bar charts,heat maps,and scatter plots
Get acquainted with GTK+3,Qt5,and wxWidgets to understand the UI backend of Matplotlib
Develop advanced static plots with third-party packages such as Pandas,GeoPandas,and Seaborn
Create interactive plots with real-time updates
Develop web-based,Matplotlib-powered graph visualizations with third-party packages such as Django
Write data visualization code that is readily expandable on the cloud platform
Authors
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.
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.

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