Book Image

Mastering IPython 4.0

By : Thomas Bitterman, Dipanjan Deb
Book Image

Mastering IPython 4.0

By: Thomas Bitterman, Dipanjan Deb

Overview of this book

IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media. This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools. By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
Table of Contents (18 chapters)
Mastering IPython 4.0
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
6
Works Well with Others – IPython and Third-Party Tools
Index

R


The previous chapter introduced some basic features of plotting in R. This section will introduce the ggplot2 library. ggplot2 is based on concepts from Leland Wilkinson's The Grammar of Graphics, a classic in the data visualization field. The goal of this book was to provide an underlying theory of graphical data display. The framework provided aims to provide a unified viewpoint in which various tools (scatter plots, bar charts, pie charts, and so on) can all be viewed as special cases of a more general concept of graphical data presentation.

For more information on ggplot2, see the home page for the project at http://ggplot2.org/ and the documentation at http://docs.ggplot2.org/current/index.html.

Installing ggplot2 and pandas

ggplot2 is an optional R package. It is possible that it is included in your R installation. If not, it can be installed easily enough in IPython using R magic:

In [12]: %%R
   ...: install_packages("ggplot2")

pandas is a data analysis library for Python. It contains...