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)

Determining the normality of stock market returns

In elementary statistics textbooks, the normal distribution is heavily relied upon to describe many different populations of data. Although many random processes do appear to look like normal distributions most of the time, real-life tends to be more complex. Stock market returns are a prime example of a distribution that can look fairly normal but in actuality be quite far off.

Getting ready

This recipe describes how to find daily stock market returns of the internet retail giant Amazon and informally test whether they follow a normal distribution.

How to do it...

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