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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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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

Finding the last time crime was 20% lower with merge_asof

There are frequently times where we would like to know when the last time something happened. For example, we might be interested in the last time unemployment was below 5% or the last time the stock market went up five days in a row or the last time you had eight hours of sleep. The merge_asof function provides answers to these types of questions.

Getting ready

In this recipe, we will find the current month's total number of crimes for each offense category and then find the last time there were 20% fewer incidences.

How to do it...

...
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