Talk Scientific Plotting with Matplotlib

Presented by Nicolas Rougier in Introductory tutorial track 2012 on 2012/08/24 from 09:00 to 12:30 in room H1301
Abstract

Abstract

Target audience

Python users who would like to create nice 2D plots. Engineers and scientists are typically most interested.

Prerequisites

Basic Python skills. Numpy knowledge is helpful but not required.

Software requirements

python, numpy, matplotlib

Content

After reviewing the main concepts behind scientific visualization as well as reviewing the open source visualization eco-system, we will experience specifically the matplotlib library that provides many different types of high-quality figures from within python with only few lines of code.

Several examples will be used to exercise the use of this library and we will investigate more specifically:

  • title, labels, legend and text
  • colors, markers and styles
  • size, resolution and coordinate systems
  • figures, supblots and ticks
  • interaction and animations

Finally, you'll be encouraged to create a high-quality plot related to your field of research and submit it to the gallery.