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Matplotlib for Python Developers
Matplotlib for Python Developers

Matplotlib for Python Developers: Effective techniques for data visualization with Python , Second Edition

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Profile Icon Aldrin Yim Profile Icon Claire Chung Profile Icon Allen Yu
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€25.19 €27.99
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (2 Ratings)
eBook Apr 2018 300 pages 2nd Edition
eBook
€25.19 €27.99
Paperback
€34.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Aldrin Yim Profile Icon Claire Chung Profile Icon Allen Yu
Arrow right icon
€25.19 €27.99
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (2 Ratings)
eBook Apr 2018 300 pages 2nd Edition
eBook
€25.19 €27.99
Paperback
€34.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€25.19 €27.99
Paperback
€34.99
Subscription
Free Trial
Renews at €18.99p/m

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Matplotlib for Python Developers

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 24, 2018
Length: 300 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788628136
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Product Details

Publication date : Apr 24, 2018
Length: 300 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788628136
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Table of Contents

10 Chapters
Introduction to Matplotlib Chevron down icon Chevron up icon
Getting Started with Matplotlib Chevron down icon Chevron up icon
Decorating Graphs with Plot Styles and Types Chevron down icon Chevron up icon
Advanced Matplotlib Chevron down icon Chevron up icon
Embedding Matplotlib in GTK+3 Chevron down icon Chevron up icon
Embedding Matplotlib in Qt 5 Chevron down icon Chevron up icon
Embedding Matplotlib in wxWidgets Using wxPython Chevron down icon Chevron up icon
Integrating Matplotlib with Web Applications Chevron down icon Chevron up icon
Matplotlib in the Real World Chevron down icon Chevron up icon
Integrating Data Visualization into the Workflow Chevron down icon Chevron up icon

Customer reviews

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(2 Ratings)
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1 star 50%
d Aug 02, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
This book is a good introduction to Matplotlib with a few advanced topics, however, almost half of the book is dedicated to embedding matplotlib in various GUIs. This could have been a book by itself and internal functionality of matplotlib, pandas, and seaborn could have been greatly expanded. The authors do a great job of introducing the reader to fundamental matplotlib concepts, but fail to delineate the core of Pyplot vs the use of Axes/Figure. They do not go into detail about how these two are different, how to access similar functions through the Axes object, or even what an Axes object is before using it in the advanced matplotlib section. The coverage of subplots is fairly good, but overall, the book could be improved further.
Amazon Verified review Amazon
bikiteron Nov 06, 2019
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I thought this book will be colour printed but this book is not colour printed.
Amazon Verified review Amazon
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