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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

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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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

Plotting a simple sales graph

In this recipe, we'll see how to draw a sales graph by drawing bars proportional to sales in different periods.

Getting ready

We can install matplotlib in our virtual environment using the following commands:

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

In some OSes, this may require us to install additional packages; for example, in Ubuntu, it may require us to run apt-get install python3-tk. Check the matplolib documentation for details.

If you are using macOS, it's possible that you'll get an error like this: RuntimeError: Python is not installed as a framework. Refer to 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 to be displayed on the graph:
    >>> DATA = (
    ...    ...
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