canaddress 0.1.2

A library for cleaning and parsing addresses.

CanAddress

CanAddress is a Python library for cleaning and parsing addresses. It standardizes addresses by converting them to a consistent format and splitting them into components such as street number, street name, city, province/state, and postal code.

Features

• Clean and standardize addresses
• Split addresses into components
• Easily integrate with pandas DataFrames

Installation

You can install CanAddress using pip:

pip install canaddress

Usage

Here's a basic example of how to use CanAddress:

import pandas as pd
from canaddress import AddressParser

# Sample data
    data = {
        'Property_Address': [
            '1801  3077 WESTON ROAD, TORONTO, ONTARIO M9M3A1',
            '711  4673 JANE STREET, TORONTO, ONTARIO M3N2L1',
            '105  55 NEPTUNE DRIVE, TORONTO, ONTARIO M6A1X2',
            '104  5949 YONGE STREET, TORONTO, ONTARIO M2M3V8'
        ]
    }
df = pd.DataFrame(data)

# Initialize the AddressParser
parser = AddressParser(df, 'Property_Address')

# Clean and process the data
parser.clean_and_process_data()

# Display the cleaned and processed data
print(parser.display_data())

License

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

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

• Avneesh Chaudhary
• Email: [e-mail]