Postal code geocoding and distance calculation
Postal code geocoding and distance calculations
pgeocode is a Python library for high performance off-line querying of
GPS coordinates, region name and municipality name from postal codes.
Distances between postal codes as well as general distance queries are
also supported. The used
GeoNames database includes
postal codes for 83 countries.
Currently, only queries within the same country are supported.
For additional documentation see
pgeocode.readthedocs.io.
pgeocode requires Python 3.10+ as well as numpy
and pandas
packages.
It can be installed with,
pip install pgeocode
Postal code queries
>>> import pgeocode
>>> nomi = pgeocode.Nominatim('fr')
>>> nomi.query_postal_code("75013")
postal_code 75013
country_code FR
place_name Paris 13
state_name Île-de-France
state_code 11
county_name Paris
county_code 75
community_name Paris
community_code 751
latitude 48.8322
longitude 2.3561
accuracy 5
>>> nomi.query_postal_code(["75013", "69006"])
postal_code place_name state_name latitude longitude
0 75013 Paris 13 Île-de-France 48.8322 2.3561
1 69006 Lyon 06 Auvergne-Rhône-Alpes 45.7679 4.8506
Place name queries
>>> import pgeocode
>>> nomi = pgeocode.Nominatim('fr')
>>> nomi.query_location("Antibes", top_k=3)
country_code postal_code place_name state_name state_code ... community_name community_code latitude longitude accuracy
49553 FR 06160 Antibes Provence-Alpes-Côte d'Azur 93.0 ... Grasse 061 43.5858 7.1083 5
49787 FR 06600 Antibes Provence-Alpes-Côte d'Azur 93.0 ... Grasse 061 43.5858 7.1083 5
49788 FR 06601 CEDEX Antibes Provence-Alpes-Côte d'Azur 93.0 ... Grasse 061 43.5858 7.1083 5
>>> nomi.query_location("Straassborg", top_k=3, fuzzy_threshold=80)
country_code postal_code place_name state_name state_code ... community_name community_code latitude longitude accuracy
25461 FR 67000 Strasbourg Grand Est 44.0 ... Strasbourg 678 48.5839 7.7455 5
25462 FR 67001 CEDEX Strasbourg Grand Est 44.0 ... Strasbourg 678 48.5839 7.7455 5
25463 FR 67002 CEDEX Strasbourg Grand Est 44.0 ... Strasbourg 678 48.5839 7.7455 5
Distance calculations
>>> dist = pgeocode.GeoDistance('fr')
>>> dist.query_postal_code("75013", "69006")
389.156
>>> dist.query_postal_code(["75013", "75014", "75015"], ["69006", "69005", "69004"])
array([ 389.15648697, 390.12577967, 390.49857655])
The result of a geo-localistion query is a pandas.DataFrame
with the
following columns,
country_code
: iso country code, 2 characterspostal_code
: postal codeplace_name
: place name (e.g. town, city etc)state_name
: 1. order subdivision (state)state_code
: 1. order subdivision (state)county_name
: 2. order subdivision (county/province)county_code
: 2. order subdivision (county/province)community_name
: 3. order subdivision (community)community_code
: 3. order subdivision (community)latitude
: estimated latitude (wgs84)longitude
: estimated longitude (wgs84)accuracy
: accuracy of lat/lng from 1=estimated to 6=centroidStorage directory
Defaults to ~/.cache/pgeocode
, it is the directory where data is
downloaded for later consumption. It can be changed using the
environment variable PGEOCODE_DATA_DIR
, i.e.
export PGEOCODE_DATA_DIR=/tmp/pgeocode_data
.
Data sources
Data sources are provided as a list in the pgeocode.DOWNLOAD_URL
variable. The default value is,
DOWNLOAD_URL = [
"https://download.geonames.org/export/zip/{country}.zip",
"https://symerio.github.io/postal-codes-data/data/geonames/{country}.txt",
]
Data sources are tried from first to last until one works. Here the
second link is a mirror of the first.
It is also possible to extend this variable with third party data
sources, as long as they follow the same format. See for instance
postal-codes-data
repository for examples of data files.
The pgeocode package is distributed under the 3-clause BSD license.
The pgeocode package is maintained by Symerio.
The list of countries available in the GeoNames database, with the
corresponding country codes, are given below,
Andorra (AD), Argentina (AR), American Samoa (AS), Austria (AT),
Australia (AU), Åland Islands (AX), Azerbaijan (AZ), Bangladesh (BD),
Belgium (BE), Bulgaria (BG), Bermuda (BM), Brazil (BR), Belarus (BY),
Canada (CA), Switzerland (CH), Chile (CL), Colombia (CO), Costa Rica
(CR), Cyprus (CY), Czechia (CZ), Germany (DE), Denmark (DK), Dominican
Republic (DO), Algeria (DZ), Estonia (EE), Spain (ES), Finland (FI),
Federated States of Micronesia (FM), Faroe Islands (FO), France (FR),
United Kingdom of Great Britain and Northern Ireland (GB), French Guiana
(GF), Guernsey (GG), Greenland (GL), Guadeloupe (GP), Guatemala (GT),
Guam (GU), Croatia (HR), Haiti (HT), Hungary (HU), Ireland (IE), Isle of
Man (IM), India (IN), Iceland (IS), Italy (IT), Jersey (JE), Japan (JP),
Republic of Korea (KR), Liechtenstein (LI), Sri Lanka (LK), Lithuania
(LT), Luxembourg (LU), Latvia (LV), Monaco (MC), Republic of Moldova
(MD), Marshall Islands (MH), The former Yugoslav Republic of Macedonia
(MK), Northern Mariana Islands (MP), Martinique (MQ), Malta (MT), Malawi
(MW), Mexico (MX), Malaysia (MY), New Caledonia (NC), Netherlands (NL),
Norway (NO), New Zealand (NZ), Peru (PE), Philippines (PH), Pakistan
(PK), Poland (PL), Saint Pierre and Miquelon (PM), Puerto Rico (PR),
Portugal (PT), Palau (PW), Réunion (RE), Romania (RO), Serbia (RS),
Russian Federation (RU), Sweden (SE), Singapore (SG), Slovenia (SI),
Svalbard and Jan Mayen Islands (SJ), Slovakia (SK), San Marino (SM),
Thailand (TH), Turkey (TR), Ukraine (UA), United States of America (US),
Uruguay (UY), Holy See (VA), United States Virgin Islands (VI), Wallis
and Futuna Islands (WF), Mayotte (YT), South Africa (ZA)
See GeoNames database for
more information.