hdx-python-country 3.0.0

HDX Python country mapping utilities

The HDX Python Country Library provides country mappings including ISO 2 and ISO 3 letter codes (ISO 3166) and regions using live official data from the UN OCHA feed with fallbacks to an internal static file if there is any problem with retrieving data from the url. (Also it is possible to force the use of the internal static files.)

It can exact match English, French, Spanish, Russian, Chinese and Arabic. There is a fuzzy matching for English look up that can handle abbreviations in country names like Dem. for Democratic and Rep. for Republic.

Mapping administration level one names from a source to a given base set is also handled including phonetic fuzzy name matching if you are running Python 3.

It also provides currency conversion to USD from local currency.

This library is part of the Humanitarian Data Exchange (HDX) project. If you have humanitarian related data, please upload your datasets to HDX.

• Usage
• Breaking Changes
• Examples

Usage

The library has detailed API documentation which can be found here: http://ocha-dap.github.io/hdx-python-country/. The code for the library is here: https://github.com/ocha-dap/hdx-python-country.

Breaking Changes

From 3.0.0, only supports Python >= 3.6

Version 2.x.x of the library is a significant change from version 1.x.x which sourced its data from different feeds (UN Stats and the World Bank). Consequently, although most of the api calls work the same way in 2.x.x, the ones that return full country information do so in a different format to 1.x.x. The format they use is a dictionary using Humanitarian Exchange Language (HXL) hashtags as keys.

Examples

The usage of the country mappings functionality is best illustrated by some examples:

from hdx.location.country import Country

Country.countriesdata(use_live=False, country_name_overrides={'PSE': 'oPt'})
# Set up using non live data from repo rather and override default country name
# (Leaving out this step will use live data and no overrides)
Country.get_country_name_from_iso3('jpn', use_live=False)  # returns 'Japan'
Country.get_country_name_from_iso3('vEn', shortname=True)  # returns 'Venezuela'
# uselive=False forces the use of internal files instead of accessing the live feeds.
# It only needs to be supplied to the first call as the data once loaded is held
# in internal dictionaries for future use.
Country.get_country_name_from_iso2('Pl')  # returns 'Poland'
Country.get_iso3_country_code('UZBEKISTAN')  # returns 'UZB'
Country.get_country_name_from_m49(4)  # returns 'Afghanistan'

Country.get_iso3_country_code_fuzzy('Sierra')
# performs fuzzy match and returns ('SLE', False). The False indicates a fuzzy rather than exact match.
assert Country.get_iso3_country_code_fuzzy('Czech Rep.')
# returns ('CZE', False)

Country.get_country_info_from_iso2('jp')
# Returns dictionary with HXL hashtags as keys. For more on HXL, see http://hxlstandard.org/
# {'#country+alt+i_ar+name+v_unterm': 'اليابان', '#country+alt+i_en+name+v_unterm': 'Japan',
# '#country+alt+i_es+name+v_unterm': 'Japón (el)', '#country+alt+i_fr+name+v_unterm': 'Japon (le)',
# '#country+alt+i_ru+name+v_unterm': 'Япония', '#country+alt+i_zh+name+v_unterm': '日本',
# '#country+alt+name+v_fts': '', '#country+alt+name+v_hrinfo_country': '',
# '#country+alt+name+v_iso': '', '#country+alt+name+v_m49': '',
# '#country+alt+name+v_reliefweb': '', '#country+alt+name+v_unterm': '',
# '#country+code+num+v_m49': '392', '#country+code+v_fts': '112',
# '#country+code+v_hrinfo_country': '292', '#country+code+v_iso2': 'JP',
# '#country+code+v_iso3': 'JPN', '#country+code+v_reliefweb': '128',
# '#country+name+preferred': 'Japan', '#country+name+short+v_reliefweb': '',
# '#country+regex': 'japan', '#geo+admin_level': '0', '#geo+lat': '37.63209801',
# '#geo+lon': '138.0812256', '#meta+id': '112', '#region+code+intermediate': '',
# '#region+code+main': '142', '#region+code+sub': '30', '#region+intermediate+name+preferred': '',
# '#region+main+name+preferred': 'Asia', '#region+name+preferred+sub': 'Eastern Asia'}
Country.get_countries_in_region('Channel Islands')
# ['GGY', 'JEY']
len(Country.get_countries_in_region('Africa'))
# 60
Country.get_countries_in_region(13)
# ['BLZ', 'CRI', 'GTM', 'HND', 'MEX', 'NIC', 'PAN', 'SLV']

The administration level one mappings requires using an input configuration dictionary, admin_config, with key admin1_info which is a list with values of the form:

{'iso3': 'AFG', 'pcode': 'AF01', 'name': 'Kabul'}

Various other keys are optional:

countries_fuzzy_try are countries (iso3 codes) for which to try fuzzy matching. Default is all countries. admin1_name_mappings is a dictionary of mappings from name to pcode (for where fuzzy matching fails) admin1_name_replacements is a dictionary of textual replacements to try when fuzzy matching admin1_fuzzy_dont is a list of names for which fuzzy matching should not be tried

Examples of usage:

adminone = AdminOne(config)
adminone.get_pcode('YEM', 'YEM030', scrapername='test')  # returns ('YE30', True)
# Fuzzy matching in Python 3 only
adminone.get_pcode('YEM', "Al Dhale'e / الضالع", scrapername='test')  # returns ('YE30', False)

Currency conversion to USD is simple:

currency = Country.get_currency_from_iso3('usa')  # returns 'USD'
Currency.get_current_value_in_usd(10, currency)  # returns 10
gbprate = Currency.get_current_value_in_usd(10, 'gbp')
assert gbprate != 10
Currency.get_current_value_in_currency(gbprate, 'GBP')  # returns 10
date = parse_date('2020-02-20')
Currency.get_historic_value_in_usd(10, 'USD', date)  # returns 10
Currency.get_historic_value_in_usd(10, 'gbp', date)  # returns 12.877
Currency.get_historic_value_in_currency(10, 'gbp', date)  # returns 7.765783955890346

It is also possible to pass in a Retrieve object to Currency.setup() to allow the downloaded files to be saved or previously downloaded files to be reused. It is also possible to change the urls used for current and historic rates (the defaults are current_rates_url: https://api.exchangerate.host/latest?base=usd, historic_rates_url: https://codeforiati.org/exchangerates-scraper/consolidated.csv) and to activate fallbacks from current rates to a static file and/or from historic rates to current rates (for which more currencies exist).

Currency.setup(retriever, current_rates_url=my_current_rates_url, historic_rates_url=my_historic_rates_url,
               fallback_historic_to_current=True, fallback_current_to_static=True)