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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

HTML

You can use pandas to read HTML tables from websites. This makes it easy to ingest tables such as those found on Wikipedia.

In this recipe, we will scrape tables from the Wikipedia entry for The Beatles Discography (https://en.wikipedia.org/wiki/The_Beatles_discography). In particular, we want to scrape the table in the image that was on Wikipedia in 2024:

A screenshot of a chart

Figure 4.4: Wikipedia page for The Beatles Discography

Before attempting to read HTML, users will need to install a third-party library. For the examples in this section, we will use lxml:

python -m pip install lxml

How to do it

pd.read_html allows you to read a table from a website:

url = "https://en.wikipedia.org/wiki/The_Beatles_discography"
dfs = pd.read_html(url, dtype_backend="numpy_nullable")
len(dfs)

Contrary to the other I/O methods we have seen so far, pd.read_html doesn’t return a pd.DataFrame but, instead, returns a list of pd.DataFrame objects...

The rest of the chapter is locked

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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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