Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python
Authors: Benjamin Walter Keller
ISBN-10: 1789617693
ISBN-13: 9781789617696
Publication Date 出版日期: 2018-11-29
Print Length 页数: 214 pages
Book Description
By finelybook
More Information
Learn
Deal with non-trivial and unusual plots
Understanding Basemap methods
Customize and represent data in 3D
Construct Non-Cartesian and vector plots
Design interactive plots using Jupyter Notebook
Make movies for enhanced data representation
About
In this book,you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots,making a handful of special-purpose plots,and building 3D plots. You’ll explore non-trivial layouts,Pylab customization,and more about tile configuration. You’ll be able to add text,put lines in plots,and also handle polygons,shapes,and annotations. Non-Cartesian and vector plots are exciting to construct,and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book,you’ll be exploring 3D plotting,one of the best features when it comes to 3D data visualization,along with Jupyter Notebook,widgets,and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally,you’ll learn how to create interactive plots with the help of Jupyter.
Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering — Matplotlib 3.0 Cookbook
Features
Practical guide with hands-on examples to design interactive plots
Advanced techniques to constructing complex plots
Explore 3D plotting and visualization using Jupyter Notebook
contents
1 Heavy Customization
2 Drawing on Plots
3 Special Purpose Plots
4 3D and Geospatial Plots
5 Interactive Plotting
