UK Postcodes Processor

A fast and efficient Python script to process UK postcodes data from Doogal.co.uk and extract only the essential columns for active postcodes.

Features

• Memory Efficient: Processes large CSV files in chunks to handle datasets with millions of rows
• Fast Processing: Optimized for speed when dealing with large postcode datasets
• Filtered Output: Only keeps active postcodes (where "In Use?" = "Yes")
• Essential Columns: Extracts only the most commonly needed columns:
  • Postcode
  • Latitude
  • Longitude
  • District
  • Country

Prerequisites

• Python 3.7 or higher
• pip (Python package installer)

Installation

1. Clone this repository:

git clone <repository-url>
cd postcodes

2. Create a virtual environment:

python -m venv venv

3. Activate the virtual environment:

   • Windows:

     venv\Scripts\Activate.ps1

   • macOS/Linux:

     source venv/bin/activate

4. Install dependencies:

pip install -r requirements.txt

Usage

1. Download the UK postcodes CSV file from Doogal.co.uk
2. Place the postcodes.csv file in the project directory
3. Run the processing script:

python process_postcodes.py

The script will:

• Process the CSV file in chunks of 100,000 rows
• Filter for active postcodes only
• Extract the 5 essential columns
• Save the result to active_postcodes.csv
• Display progress updates during processing

Output

The script generates active_postcodes.csv with the following structure:

Postcode,Latitude,Longitude,District,Country
AB1 0AA,57.101474,-2.242851,Aberdeen City,Scotland
AB1 0AB,57.102554,-2.246308,Aberdeen City,Scotland
...

Performance

• Processing Speed: ~100,000 rows per chunk
• Memory Usage: Optimized for large files (2M+ rows)
• Output: Approximately 66% of postcodes are active (varies by dataset)

Data Source

This project processes data from Doogal.co.uk, which provides comprehensive UK postcode information including:

• Full list of UK postcodes (active and inactive)
• Geographic coordinates
• Administrative boundaries
• Population data

License

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

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Acknowledgments

• Doogal.co.uk for providing the comprehensive UK postcodes dataset
• The pandas library for efficient CSV processing
• The Python community for excellent data processing tools

Support

If you encounter any issues or have questions, please:

1. Check the FAQ for common solutions
2. Open an issue on GitHub
3. Contact the maintainers

Changelog

v1.0.0

• Initial release
• Basic postcode processing functionality
• Memory-efficient chunk processing
• Active postcode filtering