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Pandas Cookbook

Pandas Cookbook

By : Theodore Petrou, Kuntal Ganguly
4.3 (32)
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Pandas Cookbook

Pandas Cookbook

4.3 (32)
By: Theodore Petrou, Kuntal Ganguly

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)
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Selecting multiple DataFrame columns

Selecting a single column is accomplished by passing the desired column name as a string to the indexing operator of a DataFrame. This was covered in the Selecting a Series recipe in Chapter 1, Pandas Foundations. It is often necessary to focus on a subset of the current working dataset, which is accomplished by selecting multiple columns.

Getting ready

In this recipe, all the actor and director columns will be selected from the movie dataset.

How to do it...

  1. Read in the movie dataset, and pass in a list of the desired columns to the...
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Pandas Cookbook
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