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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

Reading and writing other data file formats

There are many other formats aside from the ones introduced earlier. Polars keeps adding features to work with more formats in its frequent updates. We’ll be going over a few other data file formats to read from and write to in Polars.

In this recipe, we’ll cover reading from and/or writing to the Arrow IPC format, Apache Avro, and Apache Iceberg.

These file formats are not as common as the other ones we covered in earlier recipes. However, there are still use cases where companies and people need to work with these formats.

Getting ready

You’ll need to install a few other libraries other than Polars for this recipe. They are pyiceberg, numpy, and pyarrow. Run the following commands in Terminal to install them if you haven’t already:

>>> pip install pyiceberg
>>> pip install numpy
>>> pip install pyarrow

How to do it...

Here are the steps for working with other data...

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