Python Data Visualization Cookbook

Book Description

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

中文：

书名：Python Data Visualization Cookbook

60多个食谱，将使您了解如何使用Python最受欢迎的库创建吸引人的可视化效果

Overview

• 了解如何设置用于数据可视化的最佳Python环境
• 了解导入可视化数据和设置可视化数据格式等主题
• 了解底层数据以及如何使用正确的可视化效果

In Detail

今天，数据可视化是一个热门话题，因为每秒都会产生海量的数据。对于数据可视化专业人员来说，将数据转换为信息是一项复杂的任务，他们同时试图理解数据，并客观地将这种理解传递给其他人。这本书是一套实用的食谱，努力帮助读者牢牢掌握使用Python及其流行的可视化和数据库进行数据可视化的领域。

《Python数据可视化指南》将帮助读者从安装和设置用于数据操作和可视化的Python环境开始，一直到使用Python库制作3D动画。读者将从60多个精确和可重复的食谱中受益，这些食谱引导读者更好地理解数据概念，并为后续的、有时是更高级的概念奠定基础。

《Python Data Visualization Cookbook》首先向您展示如何设置matplotlib和本书大部分内容所需的相关库，然后讨论一些较少使用的图表和图表，如甘特图或Sankey图表。在这本书中，我们从简单的情节和图表到更高级的图表，详细解释了我们为什么使用它们以及如何不使用它们。在我们阅读这本书的同时，我们还将讨论3D图表。我们将偷看动画，只是为了向你展示进入那个领域需要做些什么。地图在显示地理空间数据方面是不可替代的，因此我们还将向您展示如何构建地图。在最后一章中，我们将向您展示如何将matplotlib整合到不同的环境中，如书写系统、LaTeX或如何使用Python创建甘特图。

这本书将帮助那些已经知道如何用Python编程的人探索一个新的领域–数据可视化。因为这本书都是关于如何做某事的食谱，所以代码样本很丰富，后面跟着可视的图表和图表，帮助您理解逻辑并将您自己的结果与书中解释的内容进行比较。

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

这本书是以面向高级读者的食谱风格编写的。它涵盖了在Python中实现数据可视化的高级主题。

Table of Contents

第1章：准备您的工作环境
Chapter 2: Knowing Your Data
第3章：绘制您的第一个情节并对其进行定制
Chapter 4: More Plots and Customizations
Chapter 5: Making 3D Visualizations
第6章：使用图像和地图绘制图表
第7章：使用正确的曲线图来理解数据
Chapter 8: More on matplotlib Gems