commondata 26.4.0

Countries of the world

>>> from commondata.countries import COUNTRIES, FIELDS

>>> len(COUNTRIES)
195

These are the countries of the world:

>>> lst = ["{} ({})".format(c.name['en'], c.isoCode2) for c in COUNTRIES]
>>> txt = ", ".join(lst)
>>> from textwrap import fill
>>> print(fill(txt, width=78))  #doctest: +REPORT_UDIFF +NORMALIZE_WHITESPACE
Andorra (AD), United Arab Emirates (AE), Afghanistan (AF), Antigua and Barbuda
(AG), Albania (AL), Armenia (AM), Angola (AO), Argentina (AR), Austria (AT),
Australia (AU), Azerbaijan (AZ), Bosnia and Herzegovina (BA), Barbados (BB),
Bangladesh (BD), Belgium (BE), Burkina Faso (BF), Bulgaria (BG), Bahrain (BH),
Burundi (BI), Benin (BJ), Brunei (BN), Bolivia (BO), Brazil (BR), The Bahamas
(BS), Bhutan (BT), Botswana (BW), Belarus (BY), Belize (BZ), Canada (CA),
Democratic Republic of the Congo (CD), Central African Republic (CF), Republic
of the Congo (CG), Switzerland (CH), Ivory Coast (CI), Chile (CL), Cameroon
(CM), People's Republic of China (CN), Colombia (CO), Costa Rica (CR), Cuba
(CU), Cape Verde (CV), Cyprus (CY), Czech Republic (CZ), Germany (DE),
Djibouti (DJ), Dominica (DM), Dominican Republic (DO), Algeria (DZ), Ecuador
(EC), Estonia (EE), Egypt (EG), Eritrea (ER), Spain (ES), Ethiopia (ET),
Finland (FI), Fiji (FJ), Federated States of Micronesia (FM), France (FR),
Gabon (GA), United Kingdom (GB), Grenada (GD), Georgia (GE), Ghana (GH), The
Gambia (GM), Guinea (GN), Equatorial Guinea (GQ), Greece (GR), Guatemala (GT),
Guinea-Bissau (GW), Guyana (GY), Honduras (HN), Croatia (HR), Haiti (HT),
Hungary (HU), Indonesia (ID), Ireland (IE), Israel (IL), India (IN), Iraq
(IQ), Iran (IR), Iceland (IS), Italy (IT), Jamaica (JM), Jordan (JO), Japan
(JP), Kenya (KE), Kyrgyzstan (KG), Cambodia (KH), Kiribati (KI), Comoros (KM),
Saint Kitts and Nevis (KN), North Korea (KP), South Korea (KR), Kuwait (KW),
Kazakhstan (KZ), Laos (LA), Lebanon (LB), Saint Lucia (LC), Liechtenstein
(LI), Sri Lanka (LK), Liberia (LR), Lesotho (LS), Lithuania (LT), Luxembourg
(LU), Latvia (LV), Libya (LY), Morocco (MA), Monaco (MC), Moldova (MD),
Montenegro (ME), Madagascar (MG), Marshall Islands (MH), North Macedonia (MK),
Mali (ML), Myanmar (MM), Mongolia (MN), Mauritania (MR), Malta (MT), Mauritius
(MU), Maldives (MV), Malawi (MW), Mexico (MX), Malaysia (MY), Mozambique (MZ),
Namibia (NA), Niger (NE), Nigeria (NG), Nicaragua (NI), Kingdom of the
Netherlands (NL), Norway (NO), Nepal (NP), Nauru (NR), New Zealand (NZ), Oman
(OM), Panama (PA), Peru (PE), Papua New Guinea (PG), Philippines (PH),
Pakistan (PK), Poland (PL), Palestine (PS), Portugal (PT), Palau (PW),
Paraguay (PY), Qatar (QA), Romania (RO), Serbia (RS), Russia (RU), Rwanda
(RW), Saudi Arabia (SA), Solomon Islands (SB), Seychelles (SC), Sudan (SD),
Sweden (SE), Singapore (SG), Slovenia (SI), Slovakia (SK), Sierra Leone (SL),
San Marino (SM), Senegal (SN), Somalia (SO), Suriname (SR), South Sudan (SS),
São Tomé and Príncipe (ST), El Salvador (SV), Syria (SY), Eswatini (SZ), Chad
(TD), Togo (TG), Thailand (TH), Tajikistan (TJ), Timor-Leste (TL),
Turkmenistan (TM), Tunisia (TN), Tonga (TO), Turkey (TR), Trinidad and Tobago
(TT), Tuvalu (TV), Taiwan (TW), Tanzania (TZ), Ukraine (UA), Uganda (UG),
United States (US), Uruguay (UY), Uzbekistan (UZ), Vatican City (VA), Saint
Vincent and the Grenadines (VC), Venezuela (VE), Vietnam (VN), Vanuatu (VU),
Samoa (WS), Yemen (YE), South Africa (ZA), Zambia (ZM), Zimbabwe (ZW)

This is what we know about each country:

>>> FIELDS
('entity', 'name', 'isoCode2', 'isoCode3', 'zipCode', 'population')

Example:

>>> COUNTRIES[0]
Country(entity='Q228', name={'en': 'Andorra', 'de': 'Andorra', 'fr': 'Andorre', 'nl': 'Andorra', 'et': 'Andorra', 'bn': 'অ্যান্ডোরা', 'es': 'Andorra'}, isoCode2='AD', isoCode3='AND', zipCode=None, population='87097')

Peppol Participant Identifier Schemes

The COUNTRY2SCHEME dict in the commondata.peppol module maps country codes to the Participant Identifier Scheme of their respective VAT office. The make_code.py gets this data from https://docs.peppol.eu/edelivery/codelists

>>> from commondata.peppolcodes import COUNTRY2SCHEME

>>> COUNTRY2SCHEME['BE']
'9925'
>>> COUNTRY2SCHEME['EE']
'9931'

Not every country has an Electronic Address Scheme:

>>> COUNTRY2SCHEME['US']
Traceback (most recent call last):
...
KeyError: 'US'

Here is a list of the Peppol countries:

>>> " ".join(sorted(COUNTRY2SCHEME.keys()))
'AD AL AT BA BE BG CH CY CZ DE EE ES FI FR GB GR HR HU IE IT LI LT LU LV MC ME MK MT NL NO PL PT RO RS SE SI SK SM TR VA international'

This is used by Lino, see https://dev.lino-framework.org/topics/peppol.html#electronic-address-scheme

The following snippet was used to generate the NAT2EAS.DBC file used by TIM:

>>> for k in sorted(COUNTRY2SCHEME.keys()):
...     print(f"{COUNTRY2SCHEME[k]}|{k}")
9922|AD
9923|AL
9914|AT
9924|BA
9925|BE
9926|BG
9927|CH
9928|CY
9929|CZ
9930|DE
9931|EE
9920|ES
0213|FI
9957|FR
9932|GB
9933|GR
9934|HR
9910|HU
9935|IE
9906|IT
9936|LI
9937|LT
9938|LU
9939|LV
9940|MC
9941|ME
9942|MK
9943|MT
9944|NL
9909|NO
9945|PL
9946|PT
9947|RO
9948|RS
9955|SE
9949|SI
9950|SK
9951|SM
9952|TR
9953|VA
9912|international

Peppol delivery units

The DELIVERY_UNITS dict in the commondata.peppol module contains the codes that are allowed in the unitCode attribute of a InvoicedQuantity element. These codes are specified by UNECERec20.

The make_code.py gets this data from the OpenPEPPOL repository.

>>> from commondata.peppolcodes import DELIVERY_UNITS

The DELIVERY_UNITS dict contains many codes:

>>> len(DELIVERY_UNITS)
2162

And some of them are funny:

>>> DELIVERY_UNITS['14']
('shot', 'A unit of liquid measure, especially related to spirits.')

I wondered what’s the code for “hour”:

>>> for k, v in DELIVERY_UNITS.items():
...     if v[0].lower() == "hour":
...         print(k)
HUR

Here are some of the more commonly used units:

>>> for i in "HUR MIN MON LTR CLT DLT KGM XPP XPK XBX MTR MTK MTQ B68".split():
...     print(i, DELIVERY_UNITS[i][0])
HUR hour
MIN minute [unit of time]
MON month
LTR litre
CLT centilitre
DLT decilitre
KGM kilogram
XPP Piece
XPK Package
XBX Box
MTR metre
MTK square metre
MTQ cubic metre
B68 gigabit

Place names in Estonia

>>> from commondata.places.estonia import PLACES, COUNTIES
>>> len(PLACES)
4564
>>> len(COUNTIES)
15

>>> for county in COUNTIES:
...    print(county.name, ":", ", ".join([p.name for p in county.children]))
Harju : Tallinn, Ääsmäe, Loksa, Vasalemma, Nissi, Saku, Saue, Viimsi, Raasiku, Jõelähtme, Maardu, Rae, Harku, Keila, Anija, Kehra, Kiili, Paldiski, Kose, Padise, Kõue, Kuusalu, Kernu, Aegviidu, Kaasiku, Kibuna, Vahastu, Vansi, Vikipalu, Jägala-Joa, Kersalu, Haapse, Jõesuu, Pohla, Andineeme
Pärnu : Pärnu, Halinga, Tootsi, Vändra, Tori, Tõstamaa, Tahkuranna, Sauga, Paikuse, Sindi, Audru, Häädemeeste, Kilingi-Nõmme, Are, Lavassaare, Varbla, Saarde, Surju, Kihnu, Koonga, Metsaääre, Aruvälja
Rapla : Vigala, Rapla, Kehtna, Märjamaa, Järvakandi, Juuru, Kaiu, Käru, Kohila, Raikküla
Hiiu : Kärdla, Käina, Kõrgessaare, Pühalepa, Emmaste
Ida-Viru : Lohusuu, Sonda, Toila, Tudulinna, Sillamäe, Püssi, Lüganuse, Vaivara, Narva, Avinurme, Narva-Jõesuu, Kohtla-Järve, Aseri, Jõhvi, Iisaku, Kiviõli, Alajõe, Kohtla-Nõmme, Maidla, Mäetaguse, Kohtla, Illuka
Jõgeva : Torma, Põltsamaa, Tabivere, Mustvee, Jõgeva, Palamuse, Puurmani, Saare, Kasepää, Pajusi, Pala, Vägeva
Järva : Türi, Roosna-Alliku, Paide, Väätsa, Ambla, Järva-Jaani, Koeru, Kareda, Albu, Imavere, Koigi, Kolu
Lääne : Lihula, Risti, Ridala, Haapsalu, Hanila, Taebla, Oru, Vormsi, Martna, Noarootsi, Nõva, Kullamaa
Lääne-Viru : Tapa, Rakvere, Vinni, Tamsalu, Rakke, Väike-Maarja, Sõmeru, Vihula, Haljala, Kunda, Kadrina, Laekvere, Viru-Nigula, Eisma
Põlva : Räpina, Põlva, Veriora, Kanepi, Ahja, Kõlleste, Vastse-Kuuste, Värska, Mikitamäe, Mooste, Orava, Valgjärve, Laheda
Saare : Leisi, Salme, Kaarma, Orissaare, Kärla, Kihelkonna, Kuressaare, Valjala, Lümanda, Pöide, Pihtla, Torgu, Mustjala, Laimjala, Muhu, Ruhnu
Tartu : Tartu, Luunja, Ülenurme, Haaslava, Rõngu, Kambja, Elva, Nõo, Kallaste, Puhja, Alatskivi, Mäksa, Tähtvere, Konguta, Rannu, Laeva, Võnnu, Peipsiääre, Meeksi, Vara, Piirissaare, Vehendi, Kriimani, Illi, Neemisküla
Valga : Valga, Tõrva, Otepää, Puka, Õru, Tõlliste, Sangaste, Karula, Helme, Taheva, Põdrala, Palupera, Hummuli
Viljandi : Suure-Jaani, Abja, Abja-Paluoja, Viljandi, Võhma, Mõisaküla, Viiratsi, Halliste, Karksi, Karksi-Nuia, Kolga-Jaani, Pärsti, Tarvastu, Saarepeedi, Paistu, Kõpu, Kõo, Soe
Võru : Vastseliina, Võru, Antsla, Varstu, Sõmerpalu, Rõuge, Mõniste, Haanja, Urvaste, Lasva, Misso, Meremäe, Kirumpää, Navi, Meegomäe

Note: The data about Estonian places is currently obsolete by several years. We plan to maintain it in collaboration with https://maaamet.ee/ruumiandmed-ja-kaardid/aadressid-ja-kohanimed/kohanimeregister

Place names in Bangladesh

>>> from commondata.places.bangladesh import PLACES, DIVISIONS
>>> len(PLACES)
5776
>>> len(DIVISIONS)
8

>>> for div in DIVISIONS:
...    print(div.name, ":", ", ".join([p.name for p in div.children]))
Chittagong : Bandarban, Brahamanbaria, Chandpur, Chittagong, Comilla, Cox's Bazar, Feni, Khagrachhari, Lakshmipur, Noakhali, Rangamati
Dhaka : Dhaka, Faridpur, Gazipur, Gopalganj, Kishoreganj, Madaripur, Manikganj, Munshiganj, Narayanganj, Narsingdi, Rajbari, Shariatpur, Tangail
Mymensingh : Jamalpur, Mymensingh, Netrakona, Sherpur
Rajshani : Bogra, Joypurhat, Naogaon, Natore, Nawabganj, Pabna, Rajshahi, Sirajganj
Rangpur : Dinajpur, Gaibandha, Kurigram, Lalmonirhat, Nilphamari, Panchagarh, Rangpur, Thakurgaon
Sylhet : Habiganj, Maulvibazar, Sunamganj, Sylhet
Khulna : Bagerhat, Chuadanga, Jessore, Jhenaidah, Khulna, Kushtia, Magura, Meherpur, Narail, Satkhira
Barisal : Barguna, Barisal, Bhola, Jhalokati, Patuakhali, Pirojpur

>>> for div in DIVISIONS:
...    print(div.name_bn, ":", ", ".join([p.name_bn for p in div.children]))
চট্টগ্রাম : বান্দরবান, ব্রাহ্মণবাড়িয়া, চাঁদপুর, চট্টগ্রাম, কুমিল্লা, কক্সবাজার, ফেনী, খাগড়াছড়ি, লক্ষ্মীপুর, নোয়াখালী, রাঙ্গামাটি
ঢাকা : ঢাকা, ফরিদপুর, গাজীপুর, গোপালগঞ্জ, কিশোরগঞ্জ, মাদারীপুর, মানিকগঞ্জ, মুন্সিগঞ্জ, নারায়ণগঞ্জ, নরসিংদী, রাজবাড়ী, শরীয়তপুর, টাঙ্গাইল
ময়মনসিংহ : জামালপুর, ময়মনসিংহ, নেত্রকোণা, শেরপুর
রাজশাহী : বগুড়া, জয়পুরহাট, নওগাঁ, নাটোর, নবাবগঞ্জ, পাবনা, রাজশাহী, সিরাজগঞ্জ
রংপুর : দিনাজপুর, গাইবান্ধা, কুড়িগ্রাম, লালমনিরহাট, নীলফামারী, পঞ্চগড়, রংপুর, ঠাকুরগাঁও
সিলেট : হবিগঞ্জ, মৌলভীবাজার, সুনামগঞ্জ, সিলেট
খুলনা : বাগেরহাট, চুয়াডাঙ্গা, যশোর, ঝিনাইদহ, খুলনা, কুষ্টিয়া, মাগুরা, মেহেরপুর, নড়াইল, সাতক্ষীরা
বরিশাল : বরগুনা, বরিশাল, ভোলা, ঝালকাঠি, পটুয়াখালী, পিরোজপুর

Historic note

Until March 2024 this was a namespace package and country-specific data was contained in individual subpackages. The following packages are now obsolete

• commondata.be : Common data about Belgium

• commondata.ee: Common data about Estonia

• commondata.eg: Common data about Egypt

How to uninstall the old commondata packages: find your site-packages directory (e.g. ~/env/lib/python3.10/site-packages) and manually remove all files commondata*-nspkg.pth

Changelog

Don’t read this

The remaining part of this document is obsolete but still valid.

How to use the Place and PlaceGenerator classes.

You define a subclass of Place for each “type” of place:

>>> from commondata.utils import Place
>>> class PlaceInFoo(Place):
...     def __str__(self):
...        return self.name
>>> class Kingdom(PlaceInFoo):
...     value = 1
>>> class County(PlaceInFoo):
...     value = 2
>>> class Borough(PlaceInFoo):
...     value = 3
>>> class Village(PlaceInFoo):
...     value = 3

The PlaceGenerator is used to instantiate to populate

Part 1 : configuration:

>>> from commondata.utils import PlaceGenerator
>>> pg = PlaceGenerator()
>>> pg.install(Kingdom, County, Borough, Village)
>>> pg.set_args('name')

Part 2 : filling data

>>> root = pg.kingdom("Kwargia")
>>> def fill(pg):
...    pg.county("Kwargia")
...    pg.borough("Kwargia")
...    pg.village("Virts")
...    pg.village("Vinks")
...    pg.county("Gorgia")
...    pg.village("Girts")
...    pg.village("Ginks")

>>> fill(pg)

Part 3 : using the data

>>> [str(x) for x in root.children]
['Kwargia', 'Gorgia']
>>> kwargia = root.children[0]
>>> [str(x) for x in kwargia.children]
['Kwargia', 'Virts', 'Vinks']

>>> pg = PlaceGenerator()
>>> pg.install(Kingdom, County, Borough, Village)
>>> pg.set_args('name name_ar')
>>> root = pg.kingdom("Egypt", u'مصر')
>>> print(root.name_ar)
مصر