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The Pandas Workshop

You're reading from  The Pandas Workshop

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781800208933
Pages 744 pages
Edition 1st Edition
Languages
Authors (4):
Blaine Bateman Blaine Bateman
Profile icon Blaine Bateman
Saikat Basak Saikat Basak
Profile icon Saikat Basak
Thomas V. Joseph Thomas V. Joseph
Profile icon Thomas V. Joseph
William So William So
Profile icon William So
View More author details

Table of Contents (21) Chapters

Preface Part 1 – Introduction to pandas
Chapter 1: Introduction to pandas Chapter 2: Working with Data Structures Chapter 3: Data I/O Chapter 4: Pandas Data Types Part 2 – Working with Data
Chapter 5: Data Selection – DataFrames Chapter 6: Data Selection – Series Chapter 7: Data Exploration and Transformation Chapter 8: Understanding Data Visualization Part 3 – Data Modeling
Chapter 9: Data Modeling – Preprocessing Chapter 10: Data Modeling – Modeling Basics Chapter 11: Data Modeling – Regression Modeling Part 4 – Additional Use Cases for pandas
Chapter 12: Using Time in pandas Chapter 13: Exploring Time Series Chapter 14: Applying pandas Data Processing for Case Studies Chapter 15: Appendix Other Books You May Enjoy

Introduction to data modeling

Data is often provided to you in a form that isn't completely suitable for analysis and modeling. As an example, suppose you are trying to summarize and analyze the sales of students selling cookies in an effort to raise money for a school trip. You would like to get an idea of the expected sales per student per week, in order to recognize students putting in effort and achieving higher sales. Unfortunately, the data for any given student comes in at somewhat random times, making comparisons more difficult. You decide to take each student's sales and fill in the missing days by interpolating between the days for which you have data. The process is quite tedious, and part-way through, you realize you will also have to go back and divide each day by the weekly total, otherwise you are inflating the total sales. Pandas provides the .resample() method you saw in Chapter 9, Data Modeling – Preprocessing, and by combing that with a .rolling...

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