Book Image

Mastering matplotlib

By : Duncan M. McGreggor, Duncan M McGreggor
Book Image

Mastering matplotlib

By: Duncan M. McGreggor, Duncan M McGreggor

Overview of this book

Table of Contents (16 chapters)
Mastering matplotlib
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Data analysis


The following is the definition of data analysis given by Wikipedia:

"Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making."

In the Python scientific computing community, the definition tends to lean away from the software business applications and more towards a statistical analysis. In this section, while we will see a little math, our purpose is not to engage in a rigorous exploration of mathematical analysis, but rather provide a plausible context for using various tools in the matplotlib ecosystem that assist in high-level plotting and various related activities.

Pandas, SciPy, and Seaborn

We've just learned more about Seaborn, and we'll be working more with it in this section. We've used Pandas a bit, but haven't formally introduced it, nor SciPy.

The Pandas project describes generic Python as a great tool for data managing and preparation...