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Pandas 1.x Cookbook

You're reading from Pandas 1.x Cookbook Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781839213106

Length 626 pages

Edition 2nd Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Authors (2):

Theodore Petrou

Matthew Harrison

View More author details

Table of Contents (17) Chapters

Preface

1. Pandas Foundations

2. Essential DataFrame Operations FREE CHAPTER

3. Creating and Persisting DataFrames

4. Beginning Data Analysis

5. Exploratory Data Analysis

6. Selecting Subsets of Data

7. Filtering Rows

8. Index Alignment

9. Grouping for Aggregation, Filtration, and Transformation

10. Restructuring Data into a Tidy Form

11. Combining Pandas Objects

12. Time Series Analysis

13. Visualization with Matplotlib, Pandas, and Seaborn

14. Debugging and Testing Pandas

15. Other Books You May Enjoy

16. Index

Introduction

There are many ways to create a DataFrame. This chapter will cover some of the most common ones. It will also show how to persist them.

The rest of the chapter is locked

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Authors (2)

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

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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