Matplotlib 2.x By Example
暫譯: Matplotlib 2.x 實例解析

Allen Yu, Claire Chung, Aldrin Yim

Matplotlib 2.x By Example
  • 出版商: Packt Publishing
  • 出版日期: 2017-08-28
  • 售價: $2,000
  • 貴賓價: 9.5 折 $1,900
  • 語言: 英文
  • 頁數: 334
  • 裝訂: Paperback
  • ISBN: 1788295269
  • ISBN-13: 9781788295260

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x

About This Book

  • Create and customize live graphs, by adding style, color, font to make appealing graphs.
  • A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits.
  • Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more.

Who This Book Is For

This book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected.

What You Will Learn

  • Familiarize with the latest features in Matplotlib 2.x
  • Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots and many more.
  • Make clear and appealing figures for scientific publications.
  • Create interactive charts and animation.
  • Extend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn.
  • Design intuitive infographics for effective storytelling.

In Detail

Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization.

Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples.

It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts.

By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable.

Style and approach

Step by step comprehensive guide filled with real world examples.

商品描述(中文翻譯)

深入了解使用 Matplotlib 2.x 的 2D 和 3D 圖形視覺化

本書介紹



  • 創建和自定義實時圖形，通過添加樣式、顏色和字體來製作吸引人的圖形。

  • 提供完整的指南，包含有見地的使用案例和範例，以使用 Matplotlib 的廣泛工具包進行數據視覺化。

  • 在 2D 和 3D 圖形中創建時間戳數據視覺化，形式包括圖表、直方圖、條形圖、散點圖等。

本書適合誰


本書適合任何對數據視覺化感興趣的人，旨在利用 Python 和 Matplotlib 2.x 從大數據中獲取見解。通過本書，您將能夠擴展您的知識，學習如何使用 Python 代碼來視覺化您的數據。預期具備基本的 Python 知識。

您將學到什麼



  • 熟悉 Matplotlib 2.x 的最新功能

  • 在 2D 和 3D 圖表上創建數據視覺化，形式包括條形圖、氣泡圖、熱圖、直方圖、散點圖、堆疊區域圖、群聚圖等。

  • 為科學出版物製作清晰且吸引人的圖形。

  • 創建互動式圖表和動畫。

  • 通過第三方包擴展 Matplotlib 的功能，例如 Basemap、GeoPandas、Mplot3d、Pandas、Scikit-learn 和 Seaborn。

  • 設計直觀的信息圖，以有效講述故事。

詳細內容


大數據分析正在推動科學研究、數位行銷、政策制定等領域的創新。Matplotlib 提供簡單但強大的繪圖介面、多樣的圖形類型和穩健的自定義功能。


《Matplotlib 2.x 實例解析》通過現實世界的範例說明各種圖形類型的方法和應用。


本書首先向讀者介紹如何使用 Matplotlib 創建和自定義圖形的基本知識。接著涵蓋如何以 2D 和 3D 圖形的形式繪製不同類型的經濟數據，從公共資料庫（如 Quandl Finance）中獲取大量數據的見解。您將學會在地圖上視覺化地理數據並實現互動式圖表。


在本書結束時，您將能夠熟練使用 Matplotlib 進行日常工作中的高級數據視覺化。本書將指導您為手稿和演示準備高質量的圖形。您將學會創建直觀的信息圖，並使您的信息清晰易懂。

風格與方法


逐步的綜合指南，充滿現實世界的範例。

類似商品