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Pandas Cookbook

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

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781784393878

Length 532 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Theodore Petrou

View More author details

Table of Contents (12) Chapters

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

Counting the number of weekly crimes

The raw Denver crime dataset is huge with over 460,000 rows each marked with a reported date. Counting the number of weekly crimes is one of many queries that can be answered by grouping according to some period of time. The resample method provides an easy interface to grouping by any possible span of time.

Getting ready

In this recipe, we will use both the resample and groupby methods to count the number of weekly crimes.

How to do it...

Read in the crime hdf5 dataset, set the index as the REPORTED_DATE, and then sort it to increase...

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Authors (1)

Theodore Petrou

Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.

See other products by Theodore Petrou

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