canonical-transformer


Namecanonical-transformer JSON
Version 0.2.2 PyPI version JSON
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home_pagehttps://github.com/nailen1/canonical_transformer.git
SummaryA Python module for canonical data transformations between different data types and formats. Provides standardized mappings between DataFrames, dictionaries, files, and other data structures.
upload_time2025-02-24 08:29:08
maintainerNone
docs_urlNone
authorJune Young Park
requires_python>=3.6
licenseNone
keywords
VCS
bugtrack_url
requirements numpy pandas python-dateutil pytz typing_extensions
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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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