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Title: Writing DataFrame-Agnostic Python Code With Narwhals – Real Python

Open Graph Title: Writing DataFrame-Agnostic Python Code With Narwhals – Real Python

Description: If you're a Python library developer looking to write DataFrame-agnostic code, this tutorial will show how the Narwhals library could give you a solution.

Open Graph Description: If you're a Python library developer looking to write DataFrame-agnostic code, this tutorial will show how the Narwhals library could give you a solution.

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Narwhals lets library authors write DataFrame-agnostic code that runs against pandas, Polars, DuckDB, and more with the same API. It’s aimed at Python library developers who need one code path to analyze common DataFrame formats.

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Narwhals avoids copying by operating on the original DataFrame and delegating work to the source backend. This keeps memory use low and preserves the performance characteristics of the underlying library.

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Wrap inputs with nw.from_native() and return the original type with .to_native(). If you always want a specific output, call .to_pandas() or .to_polars() instead, or use the @nw.narwhalify decorator to auto-handle the conversions around your function body.

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Narwhals mirrors Polars with nw.DataFrame for eager and nw.LazyFrame for lazy execution. Some operations like .pivot() require materialized data, so convert a lazy input with .collect() before those steps.

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Write DataFrame-Agnostic Python Code With Narwhalshttps://realpython.com/narwhals-python/#write-dataframe-agnostic-python-code-with-narwhals
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Use Some Syntactic Sugarhttps://realpython.com/narwhals-python/#use-some-syntactic-sugar
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