We decided to download this package from PyPI in 2015 because we needed to make some adjustments. We tried contacting the OP several times without success. We will accept Pull Requests. Cheers, Wyldebeast & Wunderliebe.
This code is completely copied from the source egg that is found on https://pypi.python.org/pypi/incf.countryutils/1.0 The code seemed no longer maintained and the original author doesn't respond to email, so after looking at the license I decided to copy the code into this github repo and update the country data
incf.countryutils provides a convenience API on top of
a list of countries by continent (data_file) as found on Wikipedia_
(a copy is included in the distribution).
It supports transformations between the different types of country codes and names like in:
from incf.countryutils import transformations transformations.cca2_to_ccn('de') '276' transformations.ccn_to_cn(276) 'Germany'
Country codes supported are numeric (ccn; internal reference format),
two letter country codes (cca2), and three letter country codes (cca3).
In addition, incf.countryutils knows the simple English name of each
country (cn) as well as the official English name.
Transformation names follow the pattern <f1>_to_<f2> where f1 and f2
refer to country codes or names. All transformations to and from the reference
format (ccn) are provided.
When providing a numeric country code as an argument integer as well as string representations are accepted.
Moreover, there are some combined transformations available for convenience. Most notably this is to:
transformations.cc_to_cn('FR') 'France' transformations.cc_to_cn('FRa') 'France' transformations.cc_to_cn('250') 'France' transformations.cc_to_cn(250) 'France' transformations.cc_to_con(250) 'French Republic France'
Lookup by name is only supported for the simple English name:
transformations.cn_to_ccn('Italy') '380' transformations.ccn_to_con('380') 'Italian Republic Italy'
Based on the data from Wikipedia_ incf.countryutils allows looking
up the continent a country belongs to (ctn: continent name;
ctca2: two letter continent code):
transformations.cn_to_ctn('Italy') 'Europe' transformations.cca_to_ctn('us') 'North America'
Continents have two letter codes as well like in:
transformations.cca_to_ctca2('usa') 'NA'
Given a continent, one can obtain its constituent countries:
transformations.ctca2_to_ccn('AN') ['010', '074', '260', '334', '239']
There is an alternative, more object-oriented API based on the
notion of Country and Continent types. On creation, a country
or continent needs to be passed a name or code:
from incf.countryutils.datatypes import Country china = Country('China') china <incf.countryutils.datatypes.Country object at 0x...>
The country's names and codes are available as attributes:
china.name 'China' china.official_name "People's Republic of China" china.numeric '156' china.alpha2 'CN' china.alpha3 'CHN'
and the continent property refers to a corresponding Continent
instance:
china.continent <incf.countryutils.datatypes.Continent object at 0x...>
which in turn has the following attributes:
china.continent.name 'Asia' china.continent.alpha2 'AS'
Asking a continent for its constituent countries returns a generator object returning country instances in turn:
china.continent.countries <generator object at 0x...> china.continent.countries.next() <incf.countryutils.datatypes.Country object at 0x...> [c.name for c in china.continent.countries] ['Afghanistan', 'Armenia', 'Azerbaijan', 'Bahrain', ...]
The use case driving the development of this package has been the wish to be able to get at a continent given a country where the country can be specified in any ISO 3166 compliant way.
There is also pycountry_ which handles also regional subdivision, currency, and language. It may also gain the capabilities provided here but note that pycountry_ requires lxml_ which may not always be readily available on some platforms.
Finally, for those interested in looking up countries by IP address there is ip2cc_.
.. _Wikipedia: http://en.wikipedia.org/wiki/List_of_countries_by_continent_(data_file) .. _pycountry: http://pypi.python.org/pypi/pycountry
.. _lxml: http://pypi.python.org/pypi/lxml
.. _ip2cc: http://pypi.python.org/pypi/ip2cc