Geo2Zip is a Python package that provides a fast and efficient way to find the closest US ZIP code for a given latitude and longitude. It uses a KDTree for quick nearest-neighbor lookup, making it suitable for geospatial queries.
Project description
Geo2Zip
Geo2Zip is a Python package that provides a fast and efficient way to find the closest US ZIP code for a given latitude and longitude. It uses a KDTree for quick nearest-neighbor lookup, making it suitable for geospatial queries.
Current version: 0.1.2
Features
- Quickly find the closest ZIP code for a given latitude and longitude.
- Efficient spatial indexing using KDTree.
- Easy-to-use command-line interface.
Installation
Prerequisites
- Python 3.7 or higher
- pip
Install the package
-
Clone the repository:
git clone https://github.com/jlopex/geo2zip.git cd geo2zip
-
Install the package and its dependencies:
pip install -e .
-
Install development dependencies (for testing):
pip install -e .[dev]
Usage
Command Line Interface
You can use the geo2zip
command to find the closest ZIP code for a given latitude and longitude.
geo2zip <latitude> <longitude>
Example:
geo2zip 37.7749 -122.4194
This command will output the closest ZIP code to the provided coordinates.
As a Python Library
You can also use the Geo2Zip class directly in your Python code:
from geo2zip import Geo2Zip
# Initialize with the path to your data file
geo2zip = Geo2Zip('path/to/geo_zip/data/geo_zip.csv')
# Find the closest ZIP code
latitude = 37.7749
longitude = -122.4194
closest_zip = geo2zip.find_closest_zip(latitude, longitude)
print(f"The closest ZIP code to ({latitude}, {longitude}) is {closest_zip}")
Data
The dataset used for ZIP codes and their coordinates is extracted from the 2023 US Gazetteer Files. The CSV file is included in the package at geo2zip/data/geo2zip.csv.
Testing
Simple and stupid Tests are written using pytest. To run the tests, execute the following command:
pytest tests/
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