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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

Saving charts

Once a chart is ready, we can store it on the hard drive so it can be referenced in other documents. In this recipe, we'll see how to save charts in different formats.

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 to be displayed on the graph and split it into different arrays:
    >>> DATA = (
    ...    ('Q1 2017', 100),
    ...    ('Q2 2017', 150),
    ...    ('Q3 2017', 125),
    ...    ('Q4 2017', 175),
    ... )
    >>> POS = list(range(len...
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