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This notebook contains an excerpt from the Python Programming and Numerical Methods - A Guide for Engineers and Scientists, the content is also available at Berkeley Python Numerical Methods.

The copyright of the book belongs to Elsevier. We also have this interactive book online for a better learning experience. The code is released under the MIT license. If you find this content useful, please consider supporting the work on Elsevier or Amazon!

< 11.6 Summary and Problems | Contents | 12.1 2D Plotting >

Chapter 12. Visualization and Plotting


Motivation

Visualizing data is usually the best way to convey important engineering and science ideas and information, especially if the information is made up of many, many numbers. The ability to visualize and plot data quickly and in many different ways is one of Python’s most powerful features.

Python has numerous graphics functions that enable you to efficiently display plots, surfaces, volumes, vector fields, histograms, animations, and many other data plots. By the end of this chapter, you should be familiar with the most common ones and have enough information to explore the rest.