Scientific visualization Course

Visualisation is a method of computing. It transforms the symbolic into the geometric, enabling researchers to observe their simulations and computations. Visualisation offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights.

Course

• Scientific Visualization (PDF). A gentle introduction to scientific visualization reviewing some concepts, definitions and rules.

• Introduction (notebook). In this introduction, we'll see how to make a figure and play with the different settings such as to improve the rendering. We'll also see how to compose a figure made of several subplots with a moderatly complex layout.

• Catalogue (notebook). In this lesson, we'll review the many different types of plot matplotlib offers and manipulate them, namely, plot, scatter, imshow and bar plots.

• Scales & projections (notebook). Matplotlib offers the possibility to use different scales (log scale, symlog scale, logit scale) and projections (polar, 3D, geographic). We'll review a few of them in this lesson.

• Animation (notebook). Animation with matplotlib can be created very easily using the animation framework. During this lesson, we'll show how to create an animation and save it as a movie.

Resources

• Scientific Visualization – Python & Matplotlib, Nicolas P. Rougier (2021)
• Fundamentals of Data Visualization, Claus O. Wilke (2019)
• Matplotlib Cheatsheets, Nicolas P. Rougier (2020)
• Python Graph Gallery, Yan Holtz (2017)
• Matplotlib Gallery, Matplotlib team
• Ten simple rules for better figures, Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne (2014)