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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 2. Essential DataFrame Operations FREE CHAPTER 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

Comparing President Trump's and Obama's approval ratings

Public support of the current President of the United States is a topic that frequently makes it into news headlines and is formally measured through opinion polls. In recent years, there has been a rapid increase in the frequency of these polls and lots of new data rolls in each week. There are many different pollsters that each have their own questions and methodology to capture their data, and thus there exists quite a bit of variability among the data. The American Presidency Project from the University of California, Santa Barbara, provides an aggregate approval rating down to a single data point each day.

Unlike most of the recipes in this book, the data is not readily available in a CSV file. Often, as a data analyst, you will need to find data on the web, and use a tool that can scrape it into a format...

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