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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

Developing Stunning Graphs

Graphs and images are fantastic ways of presenting complex data in an easy and understandable way. In this chapter, we will make use of the powerful matplotlib library to learn how to create all kinds of graphs. matplotlib is a library that's aimed at displaying data in multiple ways, and it can create stunning plots that help transmit and display information in the best way possible.

matplotlib is well known and interacts well with other tools in the Python ecosystem. For example, matplotlib graphs can also be automatically displayed by Jupyter Notebooks as introduced in Chapter 7, Cleaning and Processing Data.

The graphs we'll cover will go from simple bar graphs to line or pie charts, and combine multiple plots in the same graph, annotate them, or even draw geographical maps.

The following recipes will be covered in this chapter:

  • Plotting a simple sales graph
  • Drawing stacked bars
  • Plotting pie...
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