Book Image

Python Data Visualization Cookbook (Second Edition)

Book Image

Python Data Visualization Cookbook (Second Edition)

Overview of this book

Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.
Table of Contents (16 chapters)
Python Data Visualization Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Rendering text with LaTeX


If we want to plot more scientific graphics and explain math as it should be using scientific notations and complex equations on the figures, we need support from the best.

Although matplotlib has support for math text rendering, the best support comes from the LaTeX community, proven in the task being used for many decades.

LaTeX is a high-quality typesetting system for the production of scientific and technical documentation, being a de facto standard for scientific typesetting or publication. It is a free software, available on majority of desktop platforms used today as prepackages binary installation; hence, it is easy to install.

The basic syntax of LaTeX is similar to markup languages; so to produce satisfactory content, one would write focusing more on the structure than on the look and style. For example:

\documentclass{article}
\title{This here is a title of my document}
\author{Peter J. S. Smith}
\date{September 2013}
\begin{document}
   \maketitle
   Hello...