Python Data Visualization Cookbook, 2/e (Paperback)

Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli

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商品描述

Over 60 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 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

In Detail

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.

商品描述(中文翻譯)

超過60個食譜,讓您使用流行的Python庫開始進行數據可視化的主要概念。

關於本書
- 學習如何為數據可視化設置最佳的Python環境
- 瞭解如何導入、清理和組織數據
- 確定不同的數據可視化方法,並選擇最適合您需求的方法

本書適合對Python編程有一定了解,並希望瞭解數據、數據格式、數據可視化以及如何使用Python進行數據可視化的讀者。

您將學到什麼
- 介紹必要的工具,設置您的工作環境
- 使用標準Python數據庫和Panda庫的功能來探索數據
- 繪製第一個圖表並自定義它
- 使用最流行的Python數據可視化庫
- 使用mplot3d主要進行3D可視化
- 創建帶有圖像和地圖的圖表
- 瞭解描述數據的最適合的圖表
- 瞭解matplotlib的隱藏寶石
- 使用plot.ly在線分享您的可視化

詳細內容
《Python數據可視化食譜》將引導讀者從安裝和設置Python環境進行數據操作和可視化,一直到使用Python庫進行3D動畫。讀者將從超過60個精確可重現的食譜中受益,這些食譜將引導讀者更好地理解數據概念和後續更高級概念的基礎。

《Python數據可視化食譜》首先展示了如何設置matplotlib和其他大部分書中所需的庫,然後討論了一些較少使用的圖表,如甘特圖或Sankey圖。一開始使用簡單的圖表,逐漸過渡到更高級的圖表,以便讀者更容易理解。隨著讀者閱讀本書,他們將了解到3D圖表和動畫。地圖在顯示地理空間數據時不可替代,因此本書還將展示如何構建地圖。在最後一章中,將介紹如何將matplotlib集成到不同的環境中,例如寫作系統、LaTeX,或者如何使用Python創建甘特圖。