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Transform string-based expressions into Polars DataFrame operations

Project description

polars_expr_transformer

polars_expr_transformer is a Python package designed to simplify the transformation of string-based expressions into Polars DataFrame operations. It enables users to write expressive and readable string-based functions that are automatically converted into Polars expressions for data manipulation and analysis.

Features

  • Preprocess Expressions: Preprocess string-based functions to prepare them for transformation.
  • Convert to Polars Expressions: Transform preprocessed string expressions into Polars expressions.
  • Integrate with Polars DataFrames: Easily apply transformed expressions to Polars DataFrames.

Installation

You can install the package using pip:

pip install polars_expr_transformer

Usage Here's a simplified example of how to use polars_expr_transformer:

from polars_expr_transformer.process.polars_expr_transformer import preprocess, simple_function_to_expr import polars as pl

Define a string-based function

test_func = """'abcd' in 'adbc'"""

Preprocess the function

parsed_test_func = preprocess(test_func)

Create a Polars DataFrame

df = pl.from_dicts([{'a': 'edward', 'b': 'courtney'}, {'a': 'courtney', 'b': 'edward'}])

Apply the transformed expressions to the DataFrame

print(df.select(simple_function_to_expr("'hallo world'"))) License This project is licensed under the MIT License. See the LICENSE file for more details.

Contact For any questions or inquiries, please contact me.

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