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Polars Cookbook

You're reading from   Polars Cookbook Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805121152
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Yuki Kakegawa Yuki Kakegawa
Author Profile Icon Yuki Kakegawa
Yuki Kakegawa
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: Getting Started with Python Polars FREE CHAPTER 2. Chapter 2: Reading and Writing Files 3. Chapter 3: An Introduction to Data Analysis in Python Polars 4. Chapter 4: Data Transformation Techniques 5. Chapter 5: Handling Missing Data 6. Chapter 6: Performing String Manipulations 7. Chapter 7: Working with Nested Data Structures 8. Chapter 8: Reshaping and Tidying Data 9. Chapter 9: Time Series Analysis 10. Chapter 10: Interoperability with Other Python Libraries 11. Chapter 11: Working with Common Cloud Data Sources 12. Chapter 12: Testing and Debugging in Polars 13. Index 14. Other Books You May Enjoy

Running unit tests with pytest

pytest is a Python testing framework that allows you to implement all kinds of tests, such as unit tests, integration tests, and end-to-end tests. pytest simplifies your work to develop these tests, as it requires less boilerplate code. If you’re already familiar with constructing functions and how to use the assert keyword, this will come naturally to you.

A unit test is a crucial step in testing. It verifies the functionality and correctness of each component. It helps identify any errors in your code before the code is put into production.

In this recipe, we’ll cover how to run unit tests using pytest in Polars.

Getting ready

You need to have pytest installed. Execute the following command in your terminal to install the library:

pip install pytest

We need to create the project structure for this recipe. We’ll create a demo.py file that contains all the transformation logic, and test_demo.py under the test folder...

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