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A Python package for working with GPS coordinates

Project description

GPS Toolkit for Python

PyPI version Python versions License

A powerful, comprehensive Python library for working with GPS coordinates, with support for multiple coordinate systems, distance calculations, and coordinate transformations.

Features

  • Multiple Coordinate Systems

    • Decimal degrees (latitude/longitude)
    • Universal Transverse Mercator (UTM)
    • Military Grid Reference System (MGRS)
  • Distance Calculations

    • Haversine formula (great-circle distance)
    • Vincenty's formula (ellipsoidal distance)
    • Path distances for multiple points
  • Coordinate Conversions

    • Convert between lat/lon, UTM, and MGRS
    • Parse coordinates from various string formats
    • Unified conversion interface
  • Advanced Utilities

    • Calculate bearings between points
    • Find destination points from a starting position
    • Calculate centroids and bounding boxes
    • Create coordinate collections with custom properties

Installation

Basic Installation

pip install gps-toolkit-py

With Optional Features

# For visualization capabilities (matplotlib, folium)
pip install gps-toolkit-py[viz]

# For GIS integrations (shapely, geopandas)
pip install gps-toolkit-py[gis]

# For development (testing, linting, etc.)
pip install gps-toolkit-py[dev]

Quick Start

Basic Coordinate Usage

from gps_toolkit_py import Coordinate

# Create a coordinate
nyc = Coordinate(40.7128, -74.0060, name="New York")
sf = Coordinate(37.7749, -122.4194, name="San Francisco")

# Access properties
print(f"NYC is at {nyc.latitude}°N, {abs(nyc.longitude)}°W")
# Output: NYC is at 40.7128°N, 74.006°W

# String representation
print(nyc)
# Output: New York: 40.7128°N, 74.0060°W

Distance Calculations

from gps_toolkit_py import Coordinate
from gps_toolkit_py.distance import haversine_distance, vincenty_distance

# Create coordinates
nyc = Coordinate(40.7128, -74.0060, name="New York")
la = Coordinate(34.0522, -118.2437, name="Los Angeles")

# Calculate distances
haversine_dist = haversine_distance(nyc, la)
vincenty_dist = vincenty_distance(nyc, la)

print(f"Haversine distance: {haversine_dist/1000:.2f} km")
print(f"Vincenty distance: {vincenty_dist/1000:.2f} km")

Coordinate Conversions

from gps_toolkit_py import Coordinate
from gps_toolkit_py.converters import latlon_to_utm, utm_to_latlon, latlon_to_mgrs

# Convert to UTM
lat, lon = 40.7128, -74.0060  # NYC
zone_number, zone_letter, easting, northing = latlon_to_utm(lat, lon)
print(f"UTM: {zone_number}{zone_letter} {easting:.1f}E {northing:.1f}N")

# Convert back to lat/lon
lat2, lon2 = utm_to_latlon(zone_number, zone_letter, easting, northing)
print(f"Back to lat/lon: {lat2:.4f}, {lon2:.4f}")

# Convert to MGRS
mgrs = latlon_to_mgrs(lat, lon)
print(f"MGRS: {mgrs}")

Working with Coordinate Collections

from gps_toolkit_py import Coordinate, CoordinateList
from gps_toolkit_py.calculations import calculate_path_distance, calculate_centroid

# Create a path of coordinates
path = CoordinateList([
    Coordinate(40.7128, -74.0060, name="New York"),
    Coordinate(39.9526, -75.1652, name="Philadelphia"),
    Coordinate(38.9072, -77.0369, name="Washington DC")
])

# Calculate the total path distance
total_distance = calculate_path_distance(path.coordinates)
print(f"Total path distance: {total_distance/1000:.2f} km")

# Find the centroid of the coordinates
centroid = calculate_centroid(path.coordinates)
print(f"Centroid: {centroid}")

API Reference

Core Classes

  • Coordinate - Basic latitude/longitude coordinate representation
  • UTMCoordinate - UTM coordinate representation
  • MGRSCoordinate - MGRS coordinate representation
  • CoordinateList - Collection of coordinates

Distance Calculation Functions

  • haversine_distance - Great-circle distance
  • vincenty_distance - Ellipsoidal distance
  • bearing - Calculate bearing between two points
  • destination_point - Find destination from start point
  • path_distance - Total distance along a path
  • midpoint - Find midpoint between two coordinates

Conversion Functions

  • latlon_to_utm, utm_to_latlon - UTM conversions
  • decimal_to_dms, dms_to_decimal - DMS format conversions
  • latlon_to_mgrs, mgrs_to_latlon - MGRS conversions
  • convert_to_latlon - Unified conversion interface

Calculation Functions

  • calculate_distance - High-level distance calculator
  • calculate_destination - Calculate destination coordinate
  • calculate_path_distance - Distance along multiple points
  • calculate_centroid - Find centroid of multiple coordinates
  • calculate_bbox - Calculate a bounding box

Requirements

  • Python 3.7+
  • numpy
  • scipy
  • pyproj

Contributing

Contributions are welcome! Whether it's bug reports, feature requests, or pull requests, all contributions help improve the library.

  1. Fork the repository
  2. Create your 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

Before submitting:

  • Make sure your code follows the project's style
  • Add or update tests as necessary
  • Update documentation to reflect your changes

License

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

Acknowledgments

  • Thanks to all contributors who have helped improve GPS Toolkit
  • Inspired by various GPS and geospatial libraries

Made with ❤️ by the GPS Toolkit Team

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