pygeocodio 0.1.3

Python wrapper for Geocod.io API

Python wrapper for Geocod.io geocoding API.

Documentation on Read the Docs.

Features

• Geocode an individual address

• Batch geocode up to 10,000 addresses at a time

• Parse an address into its identifiable components

Read the complete Geocod.io documentation for service documentation.

Installation

pygeocodio requires requests 2.0.0 or greater and will ensure requests is installed:

pip install pygeocodio

Using

Import the API client and ensure you have a valid API key:

>>> from geocodio import GeocodioClient
>>> client = GeocodioClient(MY_KEY)
>>> geocoded_location = client.geocode("42370 Bob Hope Drive, Rancho Mirage CA")

The result from the Geocod.io service is a dictionary including your query, its components, and a list of matching results:

>>> geocoded_location
{
  "input": {
    "address_components": {
      "number": "42370",
      "street": "Bob Hope",
      "suffix": "Dr",
      "city": "Rancho Mirage",
      "state": "CA"
    },
    "formatted_address": "42370 Bob Hope Dr, Rancho Mirage CA"
  },
  "results": [
    {
      "address_components": {
        "number": "42370",
        "street": "Bob Hope",
        "suffix": "Dr",
        "city": "Rancho Mirage",
        "state": "CA",
        "zip": "92270"
      },
      "formatted_address": "42370 Bob Hope Dr, Rancho Mirage CA, 92270",
      "location": {
        "lat": 33.738987255507,
        "lng": -116.40833849559
      },
      "accuracy": 1
    },
    {
      "address_components": {
        "number": "42370",
        "street": "Bob Hope",
        "suffix": "Dr",
        "city": "Rancho Mirage",
        "state": "CA",
        "zip": "92270"
      },
      "formatted_address": "42370 Bob Hope Dr, Rancho Mirage CA, 92270",
      "location": {
        "lat": 33.738980796909,
        "lng": -116.40833917329
      },
      "accuracy": 0.8
    }
  ]
}

This returned several geolocation results in descending order of accuracy, so the first and most accurate geocoded location latitude and longitude can be accessed using the coords attribute:

>>> geocoded_location.coords
(-116.40833849559, 33.738987255507)

Note

To make working with other geographic data formats easier the coords method returns a tuple in (longitude, latitude) format.

You can also geocode a list of addresses:

>>> geocoded_addresses = geocodio.geocode(['1600 Pennsylvania Ave, Washington, DC',
        '3101 Patterson Ave, Richmond, VA, 23221'])

Return just the coordinates for the list of geocoded addresses:

>>> geocoded_addresses.coords
[(-116.40833849559, 33.738987255507), (-116.40833849559, 33.738987255507)]

Lookup an address by formatted address:

>>> geocoded_addresses.addresses.get['1600 Pennsylvania Ave, Washington, DC'].coords
(-116.40833849559, 33.738987255507)

Note that to perform the key based lookup you must use the get method. This preserves the list’s index based lookup.

And if you just want to parse an individual address into its components:

>>> client.parse('1600 Pennsylvania Ave, Washington DC')
{
    "address_components": {
        "number": "1600",
        "street": "Pennsylvania",
        "suffix": "Ave",
        "city": "Washington",
        "state": "DC"
    },
    "formatted_address": "1600 Pennsylvania Ave, Washington DC"
}

The return value is simple enough to us as the returned dictionary.

Exceptions

The Geocod.io service may respond with errors, so pygeocodio provides some names exceptions that can be used to identify specific error types. The Geocod.io documentation lists the following expected responses:

200 OK Hopefully you will see this most of the time. Note that this status code will also be returned even though no geocoding results were available
403 Forbidden Invalid API key or other reason why access is forbidden
422 Unprocessable Entity A client error prevented the request from executing succesfully (e.g. invalid address provided). A JSON object will be returned with an error key containing a full error message
500 Server Error Hopefully you will never see this...it means that something went wrong in our end. Whoops.

To handle these:

• An HTTP 403 error raises a GeocodioAuthError

• An HTTP 422 error raises a GeocodioDataError and the error message will be reported through the exception

• An HTTP 5xx error raises a GeocodioServerError

• An unmatched non-200 response will simply raise GeocodioError

History

0.1.2 (2014-01-23)

• Moves and enhances fixture data to JSON data based on linted server responses

• Adds Geocodio named errors

• Better handling of errors in individual locations from batch requests

0.1.1 (2014-01-22)

• Adds requests to install_requires in setup.py and drops minimum version to 1.0.0

0.1.0 (2014-01-21)

• First release on PyPI.