countryguess 0.2.0

countryguess looks up country information by fuzzy 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 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
'Republic of China'
>>> guess_country("TWN", attribute="name_short")    # 3-letter code
'Taiwan'

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

>>> 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)
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
8. UN region
9. EXIOBASE 1 classification
10. EXIOBASE 2 classification
11. EXIOBASE 3 classification
12. WIOD classification
13. Eora
14. OECD membership (per year)
15. MESSAGE 11-region classification
16. IMAGE
17. REMIND
18. UN membership (per year)
19. EU membership (including EU12, EU15, EU25, EU27, EU27_2007, EU28)
20. EEA membership
21. Schengen region
22. Cecilia 2050 classification
23. APEC
24. BRIC
25. BASIC
26. CIS (as by 2019, excl. Turkmenistan)
27. G7
28. G20 (listing all EU member states as individual members)
29. FAOcode (numeric)
30. GBDcode (numeric - Global Burden of Disease country codes)
31. IEA (World Energy Balances 2021)
32. DACcode (numeric - OECD Development Assistance Committee)
33. ccTLD - country code top-level domains
34. GWcode - Gledisch & Ward numerical codes as published in https://www.andybeger.com/states/articles/statelists.html

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!