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)

Replicating boolean indexing with index selection

It is possible to replicate specific cases of boolean selection by taking advantage of the index. Selection through the index is more intuitive and makes for greater readability.

Getting ready

In this recipe, we use the college dataset to select all institutions from a particular state with both boolean indexing and index selection and then compare each of their performance against one another.

How to do it...

  1. Read in the college dataset and use boolean indexing to select all institutions from the state of Texas (TX):
  2. ...