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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

Working with cell formats in Excel

Presenting information in spreadsheets is not just a matter of organizing it into cells or displaying it graphically in charts. It also involves changing the format to highlight the important details. In this recipe, we'll see how to manipulate the format of cells to enhance the results and present the data in the best way.

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

We'll store it in the new file information about the movies with the most attendance. The data is extracted from here: http://www.mrob.com/pub/film-video/topadj.html.

How to do it...

  1. Import the openpyxl module and create a new Excel file:
    >>> import openpyxl
    >>> from openpyxl.styles import Font, PatternFill, Border, Side
    >>> xlsfile...
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