min-distance 1.0.1

A simple Python package to calculate the minimum distance between two geographic points

min_distance

Calculate the minimum distance between two geographic points (latitude and longitude) using the Haversine formula in Python.

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Features

• Simple and lightweight Python package
• Accurate distance calculation on Earth’s surface (in kilometers)
• Easy to integrate into any Python project
• Well-tested with unit tests included

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Installation

Install via pip:

pip install min_distance

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Usage

from min_distance import calculate_min_distance

lat1, lon1 = 40.7128, -74.0060  # New York
lat2, lon2 = 51.5074, -0.1278   # London

distance_km = calculate_min_distance(lat1, lon1, lat2, lon2)
print(f"Distance: {distance_km:.2f} km")

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API Reference

calculate_min_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float

Calculate the minimum distance between two points on the Earth specified by latitude and longitude.

• Parameters:

  • lat1, lon1: Latitude and Longitude of the first point in decimal degrees.
  • lat2, lon2: Latitude and Longitude of the second point in decimal degrees.

• Returns: Distance in kilometers as a float.

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Development

Want to contribute? Feel free to open issues or submit pull requests!

Run tests with:

python -m unittest discover -s tests

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License

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

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Author

Vansh
GitHub | LinkedIn