Book Image

Pandas Cookbook

By : Theodore Petrou
Book Image

Pandas Cookbook

By: Theodore Petrou

Overview of this book

This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas 0.20 library to generate results.
Table of Contents (12 chapters)

Examining the Index object

As was discussed in Chapter 1, Pandas Foundations, each axis of Series and DataFrames has an Index object that labels the values. There are many different types of Index objects, but they all share the same common behavior. All Index objects, except for the special MultiIndex, are single-dimensional data structures that combine the functionality and implementation of Python sets and NumPy ndarrays.

Getting ready

In this recipe, we will examine the column index of the college dataset and explore much of its functionality.

How to do it...

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