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 columns with methods

Although column selection is usually done directly with the indexing operator, there are some DataFrame methods that facilitate their selection in an alternative manner. select_dtypes and filter are two useful methods to do this.

Getting ready

You need to be familiar with all pandas data types and how to access them. The Understanding data types recipe in Chapter 1, Pandas Foundations, has a table with all pandas data types.

How it works...

  1. Read in the movie dataset, and use the title of the movie to label each row. Use the get_dtype_counts...