Matplotlib for Python Developers

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.

Matplotlib for Python Developers

Author: Aldrin Yim

Publisher: Packt Publishing Ltd

ISBN: 1788628136

Page: 300

View: 623

Leverage the power of Matplotlib to visualize and understand your data more effectively Key Features Perform effective data visualization with Matplotlib and get actionable insights from your data Design attractive graphs, charts, and 2D plots, and deploy them to the web Get the most out of Matplotlib in this practical guide with updated code and examples 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. 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 Who this book is for This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.

Related Books:

Matplotlib for Python Developers
Language: un
Pages: 300
Authors: Aldrin Yim, Claire Chung, Allen Yu
Categories: Computers
Type: BOOK - Published: 2018-04-24 - Publisher: Packt Publishing Ltd

Leverage the power of Matplotlib to visualize and understand your data more effectively Key Features Perform effective data visualization with Matplotlib and get actionable insights from your data Design attractive graphs, charts, and 2D plots, and deploy them to the web Get the most out of Matplotlib in this practical
Matplotlib for Python Developers
Language: un
Pages: 308
Authors: Sandro Tosi
Categories: Computers
Type: BOOK - Published: 2009-11-09 - Publisher: Packt Publishing Ltd

This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading
Matplotlib for Python Developers
Language: un
Pages:
Authors: Benajmin Keller
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

"Matplotlib is a multi-platform data visualization tool built upon the Numpy and Scipy framework. One of matplotlib's most important features is its ability to play well with many operating systems and graphics backends. In this course, we hit the ground running and quickly learn how to make beautiful, illuminating figures
Matplotlib for Developers
Language: un
Pages:
Authors: Christopher Roach
Categories: Computers
Type: BOOK - Published: 2016 - Publisher:

"In this Matplotlib for Developers training course, expert author Christopher Roach will teach you everything you need to know about data visualization and analysis with Python. This course is designed for users that already have a basic understanding of Python. You will start by learning about pyplot, including learning about
Matplotlib for Developers
Language: un
Pages:
Authors: Christopher Roach
Categories: Internet videos
Type: BOOK - Published: 2016 - Publisher:

"In this Matplotlib for Developers training course, expert author Christopher Roach will teach you everything you need to know about data visualization and analysis with Python. This course is designed for users that already have a basic understanding of Python. You will start by learning about pyplot, including learning about