Python Data Visualization Cookbook
Book Details:
Pages: | 280 |
Published: | Nov 25 2013 |
Posted: | Nov 19 2014 |
Language: | English |
Book format: | PDF |
Book size: | 5.23 MB |
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.
2nd Edition
Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book * 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 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. What You Will Learn * Introduce yourself to the essential tooling to set up your w...
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