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Python Data Visualization Cookbook (Second Edition) Cover

Python Data Visualization Cookbook (Second Edition)

Visualize data using Python's most popular libraries

Publisher:Packt Publishing Limited
Paid access
|Dec 2015
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Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization.

Key Features

  • 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

Book 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.

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

Who this book is 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.

Table of Contents

  1. Preparing Your Working Environment
  2. Knowing Your Data
  3. Drawing Your First Plots and Customizing Theme
  4. More Plots and Customizations
  5. Making 3D Visualizations
  6. Plotting Charts with Images and Maps
  7. Using Right Plots to Understand Data
  8. More on matplotlib Gems
  9. Visualisations on the clouds with Plot.ly
PDF ISBN: 978-1-78439-494-3
Publisher: Packt Publishing Limited
Copyright owner: © 2015 Packt Publishing Limited
Publication date: 2015
Language: English
Pages: 302
Related subjects:
Computer sciences,
Databases and data mining

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