python-omgeo

OMGeo - Python Edition

python-omgeo is a geocoding abstraction layer written in python. Currently supported geocoders:

Installation:

sudo pip install python-omgeo

Documentation

Docs are available in HTML or PDF format.

Usage Example

Make a new geocoder and geocode and address:

>>> from omgeo import Geocoder
>>> g = Geocoder()
>>> result = g.geocode('340 12th St, Philadelphia PA')

Take a look at the result:

>>> result
{'candidates': [
  <340 S 12th St, Philadelphia, PA, 19107 (-75.161461, 39.94532) EsriWGS>,
  <340 N 12th St, Philadelphia, PA, 19107 (-75.158434, 39.958728) EsriWGS>
 ],
 'upstream_response_info': [<EsriWGS 1054ms>]}

Take a closer look at the information in our address Candidate objects:

>>> [c.__dict__ for c in result["candidates"]]
    [{'geoservice': 'EsriWGS',
      'locator': u'USA.AddressPoint',
      'locator_type': u'PointAddress',
      'match_addr': u'340 S 12th St, Philadelphia, PA, 19107',
      'score': 90.87,
      'wkid': 4326,
      'x': -75.161461,
      'y': 39.94532},
     {'geoservice': 'EsriWGS',
      'locator': 'interpolation',
      'locator_type': u'StreetAddress',
      'match_addr': u'340 N 12th St, Philadelphia, PA, 19107',
      'score': 90.87,
      'wkid': 4326,
      'x': -75.158434,
      'y': 39.958728}]

Some geocoders (EsriWGS and US Census) can return address components in addition to the full address:

>>> [{'geoservice': 'EsriWGS',
    'locator': 'interpolation',
    'locator_type': u'StreetAddress',
    'match_addr': u'340 N 12th St, Phila, Pennsylvania, 19107',
    'match_city': u'Phila',
    'match_country': u'USA',
    'match_postal': u'19107',
    'match_region': u'Pennsylvania',
    'match_streetaddr': u'340 N 12th St',
    'match_subregion': u'',
    'score': 90.1,
    'wkid': 4326,
    'x': -75.158384,
    'y': 39.958774}]

These are optional; their existence may change depending on the response from the geocoder.

Testing

There is a shell script in the root of the repository called test.dummy.sh. Copy it using cp test.dummy.sh test.sh. Edit test.sh to include the API keys that you obtained from the given geocoding service providers. Then, run the tests using ./test.sh.

Release files for python-omgeo 6.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for python-omgeo 6.2.2
File	Size	Uploaded
python_omgeo-6.2.2.tar.gz	37.9 kB	Apr 19, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for python-omgeo 6.2.2
File	Interpreter	ABI	Platform	Reset
python_omgeo-6.2.2-py3-none-any.whl 40.9 kB Apr 19, 2024	Python 3	none	any	Details

Total release size: 78.8 kB

Release files / python_omgeo-6.2.2.tar.gz

Download URL	python_omgeo-6.2.2.tar.gz
Size	37.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`534771c50dca56a9eb5d1865846d62829022789a096a683935ff6ef0d96044af`
BLAKE2b-256 checksum How to use checksums	`6761d0cd7e019a66176c45c6a25874666359fdca0924aae364790c98c28754cc`
Upload date	Apr 19, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.3`

Release files / python_omgeo-6.2.2-py3-none-any.whl

Download URL	python_omgeo-6.2.2-py3-none-any.whl
Size	40.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`6ade831111b12ac7c865b6510d895ac0c3c384abfed705b5727db357c7879d22`
BLAKE2b-256 checksum How to use checksums	`21b828c90f066f6d2e32d2b3be06aff212a3633a53e2810d8f00200590b0157a`
Upload date	Apr 19, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.3`