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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

Updating an Excel spreadsheet

In this recipe, we'll see how to update an existing Excel spreadsheet. This will include changing raw values in cells and setting up formulas that will be evaluated when the spreadsheet is open. We'll also see how to add comments to cells.

Getting ready

We will use the openpyxl module. We should install the module, adding it to our requirements.txt file as follows:

$ echo "openpyxl==3.0.3" >> requirements.txt
$ pip install -r requirements.txt

In the GitHub repository, there's an Excel spreadsheet named movies.xlsx that contains information on the top 10 movies by attendance.

The file can be found here: https://github.com/PacktPublishing/Python-Automation-Cookbook-Second-Edition/blob/master/Chapter06/movies.xlsx.

How to do it...

  1. Import the openpyxl module and the Comment class:
    >>> import openpyxl
    >>> from openpyxl.comments import Comment
    
  2. Load the...
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