data_cook

data_cook is a library that helps you accelerate the data preprocessing process efficiently and easily. The library provides powerful tools for manipulating, cleaning, and normalizing data, saving time and improving workflow efficiency.

Key Features

• Supports CSV & DataFrame processing
• Smart merging (merge) methods
• Image and video preprocessing (frame extraction, brightness adjustment, flipping, etc.)
• Extract frames based on keyframes or significant changes
• Built-in powerful data filtering tools
• Highly compatible with Pandas & OpenCV

Installation

You can install data_cook via pip:

pip install data_cook

To install the latest development version from GitHub:

git clone https://github.com/AutoCookies/data_cook.git
cd data_cook
pip install .

Usage

Here is a simple example of how to use data_cook:

import data_cook
from data_cook.csv import group_and_merge

# Example usage
import pandas as pd

data = pd.DataFrame({
    'group': ['A', 'A', 'B', 'B'],
    'value': [10, 20, 30, 40]
})

result = group_and_merge(data, 'group', 'value')
print(result)

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a new branch (git checkout -b feature-branch)
3. Commit your changes (git commit -m 'Add new feature')
4. Push to the branch (git push origin feature-branch)
5. Open a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.