panars: Polars with Pandas-like Interface

Panars is a powerful wrapper that brings the familiar Pandas API to Polars, combining the best of both worlds: Polars' speed and efficiency with Pandas' user-friendly interface.

Key Features

• Pandas-like API: Use Polars with syntax you already know from Pandas.
• High Performance: Leverage Polars' speed while writing Pandas-style code.
• Easy Migration: Seamlessly transition existing Pandas code to Polars.
• Best of Both Worlds: Combine Pandas' ease of use with Polars' efficiency.

Installation

pip install panars

Quick Start

import panars as pa

# Create a DataFrame
df = pa.DataFrame({
    "A": [1, 2, 3, 4],
    "B": [5, 6, 7, 8],
    "C": [1, 1, 2, 2]
})

# Familiar Pandas operations
print(df.head())
print(df.groupby("C").sum())
print(df.filter(df["A"] > 2))

# Efficient data manipulation
result = (df.groupby(["C"])
            .agg({"A": ["mean", "sum"], "B": ["min", "max"]})
            .sort_values("C"))
print(result)

Why panars?

1. Familiar Syntax: Write Polars code using Pandas conventions you already know.
2. Performance Boost: Gain Polars' speed advantages without learning a new API.
3. Gradual Migration: Easily port existing Pandas projects to Polars over time.
4. Community-Driven: Open-source project welcoming contributions and feedback.

Documentation

For detailed usage instructions and API reference, visit our documentation.

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

License

Panars is released under the MIT License. See the LICENSE file for details.