Arktos

Arktos (ancient Greek word for Bear) is a utility designed to facilitate the transition from Pandas to Polars, allowing users to leverage Polars' performance benefits with a familiar Pandas-like interface.

Installation

To install Arktos, simply run:

pip install Arktos

Quick Start

Here's a quick example to get you started with Arktos:

import Arktos as pp

Example Usage

Beyond simple file reading, Arktos simplifies more complex data manipulations. Here's an example of grouping data and calculating summary statistics:

import arktos as pp

# Assuming 'data.csv' has columns 'category' and 'value'
df = pp.read_csv('data.csv')

# Group by 'category' and calculate the mean of 'value' for each group
grouped_df = df.groupby('category').agg({'value': 'mean'})

print(grouped_df)

In this example, Arktos mimics the pandas groupby and aggregation method to calculate the mean of values within each category. It's a powerful feature for those coming from a pandas background looking to utilize the speed of Polars.

Features

• Easy transition from Pandas to Polars
• High-performance data manipulation
• Familiar syntax for Pandas users

Contributing

We welcome contributions! If you would like to help improve Arktos, please feel free to fork the repository, make your changes, and submit a pull request.

License

Arktos is licensed under the MIT License. See the LICENSE file for more details.