Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

Arrow left icon
Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 14. Other Books You May Enjoy
15. Index

Drawing stacked bars

A powerful way of displaying different categories is to present them as stacked bars so that each of the categories and the total are displayed. We'll see how to do that in this recipe.

Getting ready

We need to install matplotlib in our virtual environment:

$ echo "matplotlib==3.2.1" >> requirements.txt
$ pip install -r requirements.txt

If you are using macOS, you may get an error like this: RuntimeError: Python is not installed as a framework. See the matplotlib documentation on how to fix it: https://matplotlib.org/faq/osx_framework.html.

How to do it...

  1. Import matplotlib:
    >>> import matplotlib.pyplot as plt
    
  2. Prepare the data. This represents two products' sales; an established one and a new one:
    >>> DATA = (
    ...     ('Q1 2017', 100, 0),
    ...     ('Q2 2017', 105, 15),
    ...     ('Q3 2017', 125, 40),
    ...     ('Q4 2017&apos...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image