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Pandas Cookbook

You're reading from   Pandas Cookbook Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781784393878
Length 532 pages
Edition 1st Edition
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Author (1):
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Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
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Toc

Table of Contents (12) Chapters Close

Preface 1. Pandas Foundations FREE CHAPTER 2. Essential DataFrame Operations 3. Beginning Data Analysis 4. Selecting Subsets of Data 5. Boolean Indexing 6. Index Alignment 7. Grouping for Aggregation, Filtration, and Transformation 8. Restructuring Data into a Tidy Form 9. Combining Pandas Objects 10. Time Series Analysis 11. Visualization with Matplotlib, Pandas, and Seaborn

Determining college campus diversity

Many articles are written every year on the different aspects and impacts of diversity on college campuses. Various organizations have developed metrics attempting to measure diversity. US News is a leader in providing rankings for many different categories of colleges, with diversity being one of them.

Their top 10 diverse colleges with Diversity Index are given as follows:

>> pd.read_csv('data/college_diversity.csv', index_col='School')

Getting ready

Our college dataset classifies race into nine different categories. When trying to quantify something without an obvious definition, such as diversity, it helps to start with something very simple. In this recipe...

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