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Pandas Cookbook

Pandas Cookbook

By : Theodore Petrou
4.3 (32)
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Pandas Cookbook

Pandas Cookbook

4.3 (32)
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)
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Selecting the smallest of the largest

This recipe can be used to create catchy news headlines such as Out of the top 100 best universities, these 5 have the lowest tuition or From the top 50 cities to live, these 10 are the most affordable. During an analysis, it is possible that you will first need to find a grouping of data that contains the top n values in a single column and, from this subset, find the bottom m values based on a different column.

Getting ready

In this recipe, we find the five lowest budget movies from the top 100 scoring movies by taking advantage of the convenience methods, nlargest and nsmallest.

How to do...

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