# Canonical Transformer
A Python module for canonical data transformations between different data types and formats. Provides standardized mappings between DataFrames, dictionaries, files, and other data structures.
## Features
- DataFrame to Dictionary conversion
- Dictionary to DataFrame conversion
- DataFrame to CSV file transformation
- CSV file to DataFrame loading
- Standardized data type mapping
- Simple and consistent API
## Installation
```bash
pip install canonical-transformer
```
## Quick Start
```python
from canonical_transformer import *
# map DataFrame to dict
my_dict = map_df_to_data(my_dataframe)
# map Dict to DataFrame
result_df = map_data_to_df(my_dict)
# map DataFrame to CSV with standard format
map_df_to_csv(df=my_dataframe, file_folder='./', file_name='my_csv_file.csv')
```
## Requirements
- Python >= 3.6
- pandas >= 2.2.3
- python-dateutil >= 2.9.0
- pytz >= 2024.2
- typing_extensions >= 4.12.2
## License
This project is licensed under the MIT License - see the LICENSE file for details.
## Author
**June Young Park**
AI Management Development Team Lead & Quant Strategist at LIFE Asset Management
LIFE Asset Management is a hedge fund management firm that integrates value investing and engagement strategies with quantitative approaches and financial technology, headquartered in Seoul, South Korea.
## Contact
- Email: juneyoungpaak@gmail.com
- Location: TWO IFC, Yeouido, Seoul
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