How Tos

How to Rename Columns in Polars

Renaming columns in Polars is a common task. In any given data pipeline, you may need to format the columns with certain case conventions or make the column names more user-friendly. We’ll walk through various ways that you can rename columns. Code Along We provide...

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How to Use DataFramely to Validate Polars DataFrames

In today’s AI-driven world, clean data is absolutely essential. If you’re leveraging polars for data cleaning and manipulation, you’ll likely benefit from a new DataFrame validation library known as DataFramely. With this new library, you can build reliable data...

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How to Use the Polars Cast Function

The Polars Cast Function lets you change column data types on a Polars DataFrame. There are several scenarios where you might need to change a column’s data type: Ensuring Compatibility: Some operations require specific data types. Optimizing Performance: Using...

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