Skip to main content

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

Build and Test

Geo2Zip is a Python package that provides a fast and efficient way to find the closest ZIP/Postal code for a given latitude and longitude. It uses a KDTree for quick nearest-neighbor lookup, making it suitable for geospatial queries.

The package includes Canada and US ZIP/postal codes and their geolocation as out-of-the-boxdatasets.

Current version: 0.1.4

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

  1. Clone the repository:

    git clone https://github.com/jlopex/geo2zip.git
    cd geo2zip
    
  2. Install the package and its dependencies:

    pip install -e .
    
  3. 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 with your own dataset in your Python code doing:

from geo2zip import Geo2Zip

# Initialize with the path to your data file
geo2zip = Geo2Zip('path/to/geo_zip/data/your.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 US ZIP codes and their coordinates is extracted from the 2023 US Gazetteer Files. The CSV file is included in the package at geo2zip/data/us.csv.

The dataset used for Canada postal codes and their coordinates is taken from here. The CSV file is included in the package at geo2zip/data/ca.csv.

Testing

Simple and stupid Tests are written using pytest. To run the tests, execute the following command:

pytest tests/

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

geo2zip-0.1.4.tar.gz (5.7 kB view details)

Uploaded Source

Built Distribution

geo2zip-0.1.4-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file geo2zip-0.1.4.tar.gz.

File metadata

  • Download URL: geo2zip-0.1.4.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for geo2zip-0.1.4.tar.gz
Algorithm Hash digest
SHA256 31cb22e89bb57f9521f574d090b1813e13ac34db6401cffe87f317ca2d98cc88
MD5 945c778af978d6cfc344f667e7b5be30
BLAKE2b-256 2711f79c2a4ee781a512297a300ba6f6657e70eae9f300df4f57da2aa1310ddc

See more details on using hashes here.

File details

Details for the file geo2zip-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: geo2zip-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 5.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for geo2zip-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5c14493243c3b023c59c3508a0de54fa986194e8f2916fb027f7f37ce988d11f
MD5 0f101e49a535f775c544b38dfb19fa67
BLAKE2b-256 da26489057058687928541cee760b91dcb1aba007637e9c93ff07540b9c56e63

See more details on using hashes here.

Supported by

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