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Python Data Visualization Cookbook (Second Edition)
Python Data Visualization Cookbook (Second Edition)

Python Data Visualization Cookbook (Second Edition): Visualize data using Python's most popular libraries

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Profile Icon Igor Milovanovic Profile Icon Foures Profile Icon Giuseppe Vettigli
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£26.98 £29.99
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (6 Ratings)
eBook Nov 2015 302 pages 1st Edition
eBook
£26.98 £29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £16.99p/m
Arrow left icon
Profile Icon Igor Milovanovic Profile Icon Foures Profile Icon Giuseppe Vettigli
Arrow right icon
£26.98 £29.99
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (6 Ratings)
eBook Nov 2015 302 pages 1st Edition
eBook
£26.98 £29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £16.99p/m
eBook
£26.98 £29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £16.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

Python Data Visualization Cookbook (Second Edition)

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Key benefits

  • Learn how to set up an optimal Python environment for data visualization
  • Understand how to import, clean and organize your data
  • Determine different approaches to data visualization and how to choose the most appropriate for your needs

Description

Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.

Who is this book for?

If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you.

What you will learn

  • Introduce yourself to the essential tooling to set up your working environment.
  • Explore your data using the capabilities of standard Python Data Library and Panda Library
  • Draw your first chart and customize it
  • Use the most popular data visualization Python libraries
  • Make 3D visualizations mainly using mplot3d
  • Create charts with images and maps
  • Understand the most appropriate charts to describe your data
  • Know the matplotlib hidden gems
  • Use plot.ly to share your visualization online

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 30, 2015
Length: 302 pages
Edition : 1st
Language : English
ISBN-13 : 9781784394943
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Product Details

Publication date : Nov 30, 2015
Length: 302 pages
Edition : 1st
Language : English
ISBN-13 : 9781784394943
Category :
Languages :
Tools :

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Frequently bought together


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Total £ 110.97
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Python Data Visualization Cookbook (Second Edition)
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Total £ 110.97 Stars icon

Table of Contents

10 Chapters
1. Preparing Your Working Environment Chevron down icon Chevron up icon
2. Knowing Your Data Chevron down icon Chevron up icon
3. Drawing Your First Plots and Customizing Them Chevron down icon Chevron up icon
4. More Plots and Customizations Chevron down icon Chevron up icon
5. Making 3D Visualizations Chevron down icon Chevron up icon
6. Plotting Charts with Images and Maps Chevron down icon Chevron up icon
7. Using the Right Plots to Understand Data Chevron down icon Chevron up icon
8. More on matplotlib Gems Chevron down icon Chevron up icon
9. Visualizations on the Clouds with Plot.ly Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(6 Ratings)
5 star 66.7%
4 star 0%
3 star 0%
2 star 33.3%
1 star 0%
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Reader May 29, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very clear recipes and explanations, everything I hoped it would be.
Amazon Verified review Amazon
Oleg Okun Jan 16, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The title of this book includes the word "cookbook" and as a cookbook the book contains a plenty of practical recipes of data visualization in Python. It presents not a mere description of Python packages and commands related to visualization, but embeds these tools into real-world scenarios. Not only visualization itself but also data manipulation enabling insightful visualization are discussed in detail. Needless to say, the discussion of every topic is accompanied by ready-to-use Python code.
Amazon Verified review Amazon
Amazon Customer Dec 07, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book helped me to understand how to visualize data with python anf find a good solution to implement own little datamart at home for home automation project.
Amazon Verified review Amazon
Amazon Customer Dec 31, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I received a free copy of this book in exchange for my review. I think this is a great book. The examples for the different plotting methods and customizations all worked. The first chapter describe set-up and code samples for using data in different formats. I remember when I was first given the task to add a chart to a report to represent data and how it took me a minute to ensure I was doing things correctly. This book would helped me a great deal at that time. Many questions I had previously about plotting and correctly coding solutions for charts I haven't been asked to make yet, were answered. I have been creating reports and charts for a University Research team and this book has been a godsend. I think this book would have helped me when I was working using java for reports and charts. I just this is a great book.
Amazon Verified review Amazon
Jonathan Jul 14, 2017
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Please don"t get me wrong, the book is quite useful and it"s quite frankly more handy for me to look things up in a book than on the internet.But in essence, all the information is freely available on the internet and therefore the book is very, very expensive for a black-and-white handbook!
Amazon Verified review Amazon
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