Skip to main content

countryguess looks up country information by country codes or name matching. It tries to be lean (but not mean) and fast: All dependencies are in the Python Standard Library and country data is loaded lazily on demand.

Code: Codeberg
Package: PyPI

Usage

guess_country() uses the default country data that is already packaged.

>>> from countryguess import guess_country
>>> guess_country("britain")
{
    'name_short': 'United Kingdom',
    'name_official': 'United Kingdom of Great Britain and Northern Ireland',
    'iso2': 'GB',
    'iso3': 'GBR',
    ...
}
>>> guess_country("no such country")
None
>>> guess_country("no such country", default="Oh, well.")
'Oh, well.'
>>> guess_country("PoRtUgAl", attribute="iso2")
'PT'
>>> guess_country("TW", attribute="name_official")  # 2-letter code lookup
'Republic of China'
>>> guess_country("tWn", attribute="name_short")    # 3-letter code lookup
'Taiwan'

Matching by regular expression can be extended by mapping ISO2 codes to re.Pattern objects.

>>> regex_map = {
...     "MN": re.compile(r'^mongol\s+uls$', flags=re.IGNORECASE),
...     "JP": re.compile(r'^ni(?:pp|h)on', flags=re.IGNORECASE),
... }
>>> guess_country("Mongol Uls", attribute="name_short", regex_map=regex_map)
'Mongolia'
>>> guess_country("Nippon", attribute="name_short", regex_map=regex_map)
'Japan'

You can also create a CountryData instance yourself to provide your own country data in a JSON file.

>>> from countryguess import CountryData
>>> countries = CountryData("path/to/countries.json")
>>> countries["vIeTnAm"]
{'name_short': 'Vietnam', ...}
>>> countries["vn"]
{'name_short': 'Vietnam', ...}
>>> countries["asdf"]
KeyError: 'asdf'
>>> countries.get("asdf")
None
>>> countries.get("kuwait")
{'name_short': 'Kuwait', ...}

On CountryData instances, every key in the JSON data is accessible as a method.

>>> countries.name_official("portugal")
'Portuguese Republic'
>>> countries.continent("vanuatu")
'Oceania'

Country Lookup

Countries are identified by name, 2-letter code (ISO 3166-1 alpha-2) or 3-letter code (ISO 3166-1 alpha-3). All identifiers are matched case-insensitively.

Names are matched with regular expressions that are stored in the JSON data. If that fails, fuzzy matching against name_short and name_official is done with difflib.

Country Data

Country information is read from a JSON file. One is shipped with the package, but you can also provide your own to the CountryData class as described above. The information in the default file was gratefully extracted from country-converter. (Many thanks!)

The country data file must contain a list of JSON objects. Each object represents a country that must contain at least the following keys:

  • name_short
  • name_official
  • iso2
  • iso3
  • regex

Packaged Classification Schemes

The following classification schemes are available in the included country data.

  1. ISO2 (ISO 3166-1 alpha-2) - including UK/EL for Britain/Greece (but always convert to GB/GR)
  2. ISO3 (ISO 3166-1 alpha-3)
  3. ISO - numeric (ISO 3166-1 numeric)
  4. UN numeric code (M.49 - follows to a large extend ISO-numeric)
  5. A standard or short name
  6. The "official" name
  7. Continent: 6 continent classification with Africa, Antarctica, Asia, Europe, America, Oceania
  8. Continent_7 classification - 7 continent classification spliting North/South America
  9. UN region
  10. EXIOBASE 1 classification (2 and 3 letters)
  11. EXIOBASE 2 classification (2 and 3 letters)
  12. EXIOBASE 3 classification (2 and 3 letters)
  13. WIOD classification
  14. Eora
  15. OECD membership (per year)
  16. MESSAGE 11-region classification
  17. IMAGE
  18. REMIND
  19. UN membership (per year)
  20. EU membership (including EU12, EU15, EU25, EU27, EU27_2007, EU28)
  21. EEA membership
  22. Schengen region
  23. Cecilia 2050 classification
  24. APEC
  25. BRIC
  26. BASIC
  27. CIS (as by 2019, excl. Turkmenistan)
  28. G7
  29. G20 (listing all EU member states as individual members)
  30. FAOcode (numeric)
  31. GBDcode (numeric - Global Burden of Disease country codes)
  32. IEA (World Energy Balances 2021)
  33. DACcode (numeric - OECD Development Assistance Committee)
  34. ccTLD - country code top-level domains
  35. GWcode - Gledisch & Ward numerical codes as published in https://www.andybeger.com/states/articles/statelists.html
  36. CC41 - common classification for MRIOs (list of countries found in all public MRIOs)
  37. IOC - International Olympic Committee (IOC) country codes
  38. BACI - BACI: International Trade Database at the Product-Level
  39. UNIDO - UNIDO INDSTAT database
  40. EXIOBASE hybrid 3 classification
  41. EXIOBASE hybrid 3 consequential classification
  42. GEOnumeric GEO numerical codes (also used in Prodcom)
  43. FIFA List of FIFA country codes

Command Line Interface

countryguess comes with a simple CLI with the same name. It takes one or two arguments:

$ countryguess oman
{
    "name_short": "Oman",
    "name_official": "Sultanate of Oman",
    ...
}
$ countryguess 'puerto ricco' name_official
Puerto Rico

Contributing

All kinds of bug reports, feature requests and suggestions are welcome!

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

countryguess-0.4.7.tar.gz (48.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

countryguess-0.4.7-py3-none-any.whl (47.4 kB view details)

Uploaded Python 3

File details

Details for the file countryguess-0.4.7.tar.gz.

File metadata

  • Download URL: countryguess-0.4.7.tar.gz
  • Upload date:
  • Size: 48.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for countryguess-0.4.7.tar.gz
Algorithm Hash digest
SHA256 5d0aed6c7f7b43bbdd29d7c337eb3091b2eb1063e057ec4ca7748ca894576946
MD5 95bd01a9b01a21a6cc162660eb1b2f4c
BLAKE2b-256 74e6f42a5ab58ecac6034e5774e4a4def03a37fceab3417398bbaecda153d05d

See more details on using hashes here.

File details

Details for the file countryguess-0.4.7-py3-none-any.whl.

File metadata

  • Download URL: countryguess-0.4.7-py3-none-any.whl
  • Upload date:
  • Size: 47.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for countryguess-0.4.7-py3-none-any.whl
Algorithm Hash digest
SHA256 b009bd08a655d7cbf40b24b88569292ea566f6f6ebe39f41ddc1b6d08be214cd
MD5 047190c3c505f2d35cb52415e7b73461
BLAKE2b-256 907c608457c051676ade1a841dcd4bfbfcd33582179156047e594331320327be

See more details on using hashes here.

Supported by

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