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)

Filtering with boolean indexing

Boolean selection for Series and DataFrame objects is virtually identical. Both work by passing a Series of booleans indexed identically to the object being filtered to the indexing operator.

Getting ready

This recipe constructs two complex and independent boolean criteria for different sets of movies. The first set of movies comes from the previous recipe and consists of those with an imdb_score greater than 8, a content_rating of PG-13, and a title_year either before 2000 or after 2009. The second set of movies consists of those with imdb_score less than 5, a content_rating of R, and a title_year between 2000 and 2010.

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