Python Data Visualization Cookbook（o'reilly丛书）及源代码

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关键词：Cookbook python Reilly Visual ATION 源代码

Editorial Reviews
Over 60 recipes that will enable you to learn how to create attractive visualizations using Python’s most popular libraries
Overview
Learn how to set up an optimal Python environment for data visualization
Understand the topics such as importing data for visualization and formatting data for visualization
Understand the underlying data and how to use the right visualizations
In Detail
Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries.
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 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 you 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. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.
This book will help those who already know how to program in Python to explore a new field – one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.
What you will learn from this book
Install and use iPython
Use Python’s virtual environments
Install and customize NumPy and matplotlib
Draw common and advanced plots
Visualize data using maps
Create 3D animated data visualizations
Import data from various formats
Export data from various formats
Approach
This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python
Table of Contents
Chapter 1: Preparing Your Working Environment
Chapter 2: Knowing Your Data
Chapter 3: Drawing Your First Plots and Customizing Them
Chapter 4: More Plots and Customizations
Chapter 5: Making 3D Visualizations
Chapter 6: Plotting Charts with Images and Maps
Chapter 7: Using Right Plots to Understand Data
Chapter 8: More on matplotlib Gems
Book Details

QR code for Python Data Visualization Cookbook
Title: Python Data Visualization Cookbook
Author: Igor Milovanovic
Length: 280 pages
Edition: 1
Language: English
Publisher: Packt Publishing
Publication Date: 2013-11-25
ISBN-10: 1782163360
ISBN-13: 9781782163367

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