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Python Web Scraping Cookbook

You're reading from  Python Web Scraping Cookbook

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Pages 364 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Michael Heydt Michael Heydt
Profile icon Michael Heydt

Table of Contents (13) Chapters

Preface Getting Started with Scraping Data Acquisition and Extraction Processing Data Working with Images, Audio, and other Assets Scraping - Code of Conduct Scraping Challenges and Solutions Text Wrangling and Analysis Searching, Mining and Visualizing Data Creating a Simple Data API Creating Scraper Microservices with Docker Making the Scraper as a Service Real Other Books You May Enjoy

Visualizing contributor location frequency on Wikipedia

We can use the collected data to determine the frequency of edits of Wikipedia articles from countries around the world. This can be done by grouping the captured data by country and counting the number of edits related to each country. Then we will sort the data and create a bar chart to see the results.

How to do it

This is a very simple task to perform with pandas. The code of the example is in 08/03_visualize_wikipedia_edits.py.

  1. The code begins by importing pandas and matplotlib.pyplot:
>>> import pandas as pd
>>> import matplotlib.pyplot as plt
  1. The data file we created in the previous recipe is already in a format that can be read directly by...
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