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Secret Recipes of the Python Ninja

You're reading from   Secret Recipes of the Python Ninja Over 70 recipes that uncover powerful programming tactics in Python

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788294874
Length 380 pages
Edition 1st Edition
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Author (1):
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Cody Jackson Cody Jackson
Author Profile Icon Cody Jackson
Cody Jackson
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Table of Contents (11) Chapters Close

Preface 1. Working with Python Modules FREE CHAPTER 2. Utilizing the Python Interpreter 3. Working with Decorators 4. Using Python Collections 5. Generators, Coroutines, and Parallel Processing 6. Working with Python's Math Module 7. Improving Python Performance with PyPy 8. Python Enhancement Proposals 9. Documenting with LyX 10. Other Books You May Enjoy

Implementing Counters


The Counter collection is another dictionary-like object that counts hashable objects. Like dictionaries, Counters are unordered mappings of elements (stored as keys) and their respective quantities (stored as values). Value counts are stored as integer values, but can be any value, including zero and negative numbers.

Technically, Counter is a subclass of the dictionary class, so it has access to all the traditional dictionary methods. In addition, it has the following special methods available to it:

  • elements(): It returns an iterator object over the key elements, repeating each key until its quantity value is reached. Elements are printed in random order and, if an element's count is less than one, it will not be printed.

  • most_common([n]): It returns a list of the most common elements and their counts from most common to least. If n is provided, only that number of elements are returned, otherwise all elements are returned.

  • subtract([iterable or mapping]): It subtracts...

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