Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gps_toolkit_py-0.1.14.tar.gz (23.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gps_toolkit_py-0.1.14-py3-none-any.whl (26.2 kB view details)

Uploaded Python 3

File details

Details for the file gps_toolkit_py-0.1.14.tar.gz.

File metadata

  • Download URL: gps_toolkit_py-0.1.14.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for gps_toolkit_py-0.1.14.tar.gz
Algorithm Hash digest
SHA256 463c575c2376a00620fc0b1a40a1400669fdc3c7b0225da64d96eaa278ce36f8
MD5 e3c9b0024a64f364adb17fd91d761134
BLAKE2b-256 631c303cabc8d54fac4f1f1fb22746f9c7c8eb1e7a5900eb7786eb0256d3cb64

See more details on using hashes here.

File details

Details for the file gps_toolkit_py-0.1.14-py3-none-any.whl.

File metadata

File hashes

Hashes for gps_toolkit_py-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 f759a1a1f4e9ec6c8e5c2fbe135cbd5a0c3928b09a1588c2149528a122d8f5fb
MD5 f8a679d779691dfd77561ff161b9d992
BLAKE2b-256 d853cf323aad290c818b619bd5b89af20547882c4431d8cf9c31052288a6e7c0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page