Chapter 9

Getting a Crash Course in MatPlotLib

In This Chapter

arrow Creating a basic graph

arrow Adding measurement lines to your graph

arrow Dressing your graph up with styles and color

arrow Documenting your graph with labels, annotations, and legends

Most people visualize information better when they see it in graphic, versus textual, format. Graphics help people see relationships and make comparisons with greater ease. Even if you can deal with the abstraction of textual data with ease, performing data analysis is all about communication. Unless you can communicate your ideas to other people, the act of obtaining, shaping, and analyzing the data has little value beyond your own personal needs. Fortunately, Python makes the task of converting your textual data into graphics relatively easy using MatPlotLib, which is actually a simulation of the MATLAB application. You can see a comparison of the two at http://www.pyzo.org/python_vs_matlab.html.

tip If you already know how to use MATLAB (see my book, MATLAB ...

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