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)

Selecting with booleans, integer location, and labels

Chapter 4, Selecting Subsets of Data, covered a wide range of recipes on selecting different subsets of data through the .iloc and .loc indexers. Both these indexers select rows and columns simultaneously by either integer location or label. Both these indexers can also do data selection through boolean indexing, even though booleans are not integers and not labels.

Getting ready

In this recipe, we will filter both rows and columns with boolean indexing for both the .iloc and .loc indexers.

How to do it...

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