This is the code repository for Mastering Matplotlib 2.x, published by Packt.
Effective Data Visualization techniques with Python
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.
This book covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
Following is what you need for this book:
This book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.
With the following software and hardware list you can run all code files present in the book (Chapter 1-15).
| Chapter | Software required | OS required |
|---|---|---|
| 1-5 | Python, Matplotlib 2.x/3.0.2 | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Benjamin Walter Keller is currently a PhD candidate at McMaster University and gained his BSc in physics with a minor in computer science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium.
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