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Python Data Visualization Cookbook (Second Edition)
book

Python Data Visualization Cookbook (Second Edition)

by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
November 2015
Beginner to intermediate
302 pages
6h 17m
English
Packt Publishing
Content preview from Python Data Visualization Cookbook (Second Edition)

Creating 3D bars

Although matplotlib is mainly focused on plotting and mainly in two dimensions, there are different extensions that enable us to plot over geographical maps, to integrate more with Excel, and plot in 3D. These extensions are called toolkits in the matplotlib world. A toolkit is a collection of specific functions focused on one topic, such as plotting in 3D.

Popular toolkits are Basemap, GTK Tools, Excel Tools, Natgrid, AxesGrid, and mplot3d.

We will explore more about mplot3d in this recipe. Toolkit mpl_toolkits.mplot3d provides some basic 3D plotting. Plots supported are scatter, surf, line, and mesh plots. Although this is not the best 3D plotting library, it comes with matplotlib, and we are already familiar with the interface. ...

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Publisher Resources

ISBN: 9781784396695