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Scientific Visualisation: Python and Matplotlib
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  • Title: Scientific Visualisation: Python and Matplotlib
  • Author(s): Nicolas P. Rougier
  • Publisher: AFNIL (November 13, 2021); eBook (HAL, Creative Commons Licensed, 2021)
  • License(s): CC BY-NC-ND 4.0
  • Hardcover/Paperback: 247 pages
  • eBook: PDF (249 pages, 95Mb)
  • Language: English
  • ISBN-10/ASIN: 2957990105
  • ISBN-13: 978-2957990108
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Book Description

Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Through practical, hands-on and straightforward examples, the book guides you through Data Visualization and Exploration using Python and Matplotlib.

This book is organized into four parts. The first part considers the fundamental principles of the Matplotlib library. This includes reviewing the different parts that constitute a figure, the different coordinate systems, the available scales and projections, and we’ll also introduce a few concepts related to typography and colors. The second part is dedicated to the actual design of a figure. After introducing some simple rules for generating better figures, we’ll then go on to explain the Matplotlib defaults and styling system before diving on into figure layout organization. We'll then explore the different types of plot available and see how a figure can be ornamented with different elements. The third part is dedicated to more advanced concepts, namely 3D figures, optimization & animation. The fourth and final part is a collection of showcases.

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