canonical-transformer 0.1.7

A Python module for canonical data transformations between different data types and formats. Provides standardized mappings between DataFrames, dictionaries, files, and other data structures.

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

pip install canonical-transformer

Quick Start

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: [e-mail]
• Location: TWO IFC, Yeouido, Seoul