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Pandas Cookbook

You're reading from Pandas Cookbook Practical recipes for scientific computing, time series, and exploratory data analysis using Python

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781836205876

Length 404 pages

Edition 3rd Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Authors (2):

William Ayd

Matthew Harrison

View More author details

Table of Contents (13) Chapters

Preface

1. pandas Foundations FREE CHAPTER

2. Selection and Assignment

3. Data Types

4. The pandas I/O System

5. Algorithms and How to Apply Them

6. Visualization

7. Reshaping DataFrames

8. Group By

9. Temporal Data Types and Algorithms

10. General Usage and Performance Tips

11. The pandas Ecosystem

12. Index

Reshaping DataFrames

Working with data is hard. Rarely, if ever, can you just collect data and have it immediately yield insights. Often, significant time and effort must be put into cleansing, transforming, and reshaping your data to get it into a format that is usable, digestible, and/or understandable.

Is your source data a collection of CSV files, where each file represents a different day? Proper use of pd.concat will help you take those files and combine them into one with ease.

Does the relational database you use as a source store data in a normalized form, while the target columnar database would prefer to ingest data all in one table? pd.merge can help you combine your data together.

What if your boss asks you to take millions of rows of data and, from that, produce a nice summary report that anyone in the business can understand? pd.pivot_table is the right tool for the job here, allowing you to quickly and easily summarize your data.

Ultimately, the reasons...

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Authors (2)

William Ayd

William Ayd

Will Ayd is a core maintainer of the pandas project, serving in that role since 2018. For over a decade working as a consultant, Will has helped countless clients get the most value from their data using pandas and the open-source ecosystem surrounding it

See other products by William Ayd

Matthew Harrison

Matthew Harrison

Matt Harrison has been using Python since 2000. He runs MetaSnake, which provides corporate training for Python and Data Science. He is the author of Machine Learning Pocket Reference, the bestselling Illustrated Guide to Python 3, and Learning the Pandas Library, among other books

See other products by Matthew Harrison

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