Metadata-Version: 2.4
Name: getout-of-text-3
Version: 0.1.3
Summary: A Python toolkit for working with legal corpora and English datasets.
Author-email: Etienne Jacquot <jacquot.etienne@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/atnjqt/getout_of_text3
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: pandas>=1.0
Requires-Dist: numpy>=1.18
Dynamic: license-file

# getout_of_text3

getout_of_text3 is a Python library for processing legal text data. It provides tools for reading, analyzing, and visualizing legal documents.

> **AI Disclaimer** This project is still in development and may not yet be suitable for production use. The development of this project is heavily reliant on AI CoPilot tools for staging and creating this pypi module. Please use with caution as it's only intended for experimental use cases and provides no warranty of fitness for any particular task.

## Installation

You can install getout_of_text3 using pip:

```bash
pip install getout-of-text-3
```

## Usage

Here's a quick example of how to use getout_of_text3:

```python
import getout_of_text_3 as got3

from got3 import LegalCorpus

# Initialize the corpus
corpus = LegalCorpus(data_dir="path/to/data")

# List all files in the corpus
files = corpus.list_files()
print(files)

# Read a specific BYU file
df = corpus.read_byu_file("example.csv")
print(df.head())
```

## Features

- Support for various legal text formats (CSV, TSV)
- Easy integration with pandas for data analysis
- Placeholder methods for future text analysis features (KWIC, frequency, concordance)
