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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

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781836205876
Length 404 pages
Edition 3rd Edition
Languages
Tools
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Authors (2):
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William Ayd William Ayd
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William Ayd
Matthew Harrison Matthew Harrison
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Matthew Harrison
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Toc

Table of Contents (14) Chapters Close

Preface 1. pandas Foundations 2. Selection and Assignment FREE CHAPTER 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. Other Books You May Enjoy
13. Index

Importing pandas

Most users of the pandas library will use an import alias so they can refer to it as pd. In general, in this book, we will not show the pandas and NumPy imports, but they look like this:

import pandas as pd
import numpy as np

Quick tip: Enhance your coding experience with the AI Code Explainer and Quick Copy features. Open this book in the next-gen Packt Reader. Click the Copy button (1) to quickly copy code into your coding environment, or click the Explain button (2) to get the AI assistant to explain a block of code to you.

The next-gen Packt Reader is included for free with the purchase of this book. Unlock it by scanning the QR code below or visiting https://www.packtpub.com/unlock/9781836205876.

While it is an optional dependency in the 2.x series of pandas, many examples in this book will also leverage the PyArrow library, which we assume to be imported as:

import pyarrow as pa
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83
Tech Concepts
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Programming languages
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