我正在搜索带有国家代码的国家的完整列表。
就像在此页面上一样(需要完整且有效):
我正在搜索带有国家代码的国家的完整列表。
就像在此页面上一样(需要完整且有效):
Answers:
在ISO 3166-1官方网站很可能是两个字母代码的最更新的源。不幸的是,他们没有在线alpha-3,引用了他们的网站:
在哪里可以在ISO 3166 / MA网站上免费下载ISO 3166-1 alpha-3国家/地区代码?
无处。并非免费提供alpha-3代码。您可以从我们的ISO商店购买国际标准ISO 3166-1。它包含三个字母的代码。
在互联网时代有点奇怪,但是幸运的是,有一篇Wikipedia文章,其中包含完整列表,以及一份涵盖该主题的联合国官方文档,其中包含国家/地区代码。
更新:
在CIA网站上有一个列表,列出了FIPS 10,ISO 3166 Alpha2,ISO 3166 Alpha3,STANAG和Internet TLD(例如.il或.uk)。
链接摘要:
请注意,这些列表包含非国家实体,例如Antartica。
如果要定期更新列表,则可以抓取其中一个来源并将其结果解析为有用的格式。我这样做是为了将Wikipedia 国家/地区代码列表转换为CSV:
import csv
import urllib2
from BeautifulSoup import BeautifulSoup
opener = urllib2.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0')]
url = 'http://en.wikipedia.org/wiki/ISO_3166-1'
page = opener.open(url)
soup = BeautifulSoup(page.read())
# "Current Codes" is second table on the page
t = soup.findAll('table', {'class' : 'wikitable sortable'})[1]
# create a new CSV for the output
iso_csv = csv.writer(open('wikipedia-iso-country-codes.csv', 'w'))
# get the header rows, write to the CSV
iso_csv.writerow([th.findAll(text=True)[0] for th in t.findAll('th')])
# Iterate over the table pulling out the country table results. Skip the first
# row as it contains the already-parsed header information.
for row in t.findAll("tr")[1:]:
tds = row.findAll('td')
raw_cols = [td.findAll(text=True) for td in tds]
cols = []
# country field contains differing numbers of elements, due to the flag --
# only take the name
cols.append(raw_cols[0][-1:][0])
# for all other columns, use the first result text
cols.extend([col[0] for col in raw_cols[1:]])
iso_csv.writerow(cols)
您可以在http://download.geonames.org/export/dump/countryInfo.txt中找到两个和三个字母代码中的全部(最多?)-它还具有ISO数字和fips代码以及其他国家/地区信息。
在许多Linux发行版中,默认情况下在以下位置安装了iso国家(地区)代码列表:
/usr/share/xml/iso-codes/iso_3166.xml
在Fedora / CentOS / RHEL / Debian下,包含此文件的软件包称为iso-codes
(项目主页)。
XML文件在层次结构中包含映射:
<iso_3166_entries>
<iso_3166_entry
alpha_2_code="AF"
alpha_3_code="AFG"
numeric_code="004"
name="Afghanistan"
official_name="Islamic Republic of Afghanistan" />
[..]
它可以通过XPath和一个shell shell转换为基于记录的格式(例如,用于数据库导入):
$ xmllint --noout --xpath \
'//iso_3166_entry/@*[name() = "alpha_2_code" or name()="alpha_3_code"]' \
/usr/share/xml/iso-codes/iso_3166.xml \
| sed 's/alpha_2/\nalpha_2/g' \
| awk -F'"' 'OFS="," {print $2,$4}'
或者,可以使用Python模块pycountry从该包中读取和转换代码,例如:
$ pip3 install --user pycountry
$ python3
>>> import pycountry
>>> for i in pycountry.countries:
... print('{},{}'.format(i.alpha2,i.alpha3))
...
AF,AFG
AX,ALA
AL,ALB
[..]
我想添加pycountry,因为您有一个python标签,而这似乎正是您想要的。从文档:
ISO国家/地区,细分,语言,货币和脚本定义及其翻译
pycountry为这些标准提供了ISO数据库:
639种语言
3166个国家
3166-3已删除的国家
3166-2国家的细分
4217货币
15924脚本
该软件包包括Debian的pkg-isocodes的副本,并使数据可以通过Python API访问。
您可以从http://datahub.io/dataset/iso-3166-1-alpha-2-country-codes/resource/9c3b30dd-f5f3-4bbe-a3cb获取完整的Alpha 2和Alpha 3列表(以及其他信息)-d7b2c21d66ce从http://datahub.io/dataset/iso-3166-1-alpha-2-country-codes有指向它的链接
我更新了@scw的脚本,该脚本从Wikipedia抓取了数据。现在,它使用requests
而不是urllib2
Beautiful Soup 4,并且它输出JSON而不是写入CSV文件。
import json
import bs4
import requests
print(json.dumps(
[
{
['name', 'alpha_2', 'alpha_3', 'numeric'][no]:
td.find_all()[-1].text
for no, td in enumerate(row.find_all('td')[:-1])
}
for row in bs4.BeautifulSoup(
requests.get('http://en.wikipedia.org/wiki/ISO_3166-1').text
).find('table', {'class': 'wikitable sortable'}).find_all('tr')[1:]
],
indent=4,
ensure_ascii=False
))
输出如下的JSON:
[
{
"name": "Afghanistan",
"alpha_3": "AFG",
"alpha_2": "AF",
"numeric": "004"
},
{
"name": "Åland Islands",
"alpha_3": "ALA",
"alpha_2": "AX",
"numeric": "248"
},
...
您可以使用以下代码https://classic.scraperwiki.com/scrapers/iso_3166-1/edit/-lxml总是比BeautifulSoup快。
在这里复制:
import scraperwiki
import lxml.html
import urllib
import datetime
import json
from unidecode import unidecode
def get_html(title):
raw_json = scraperwiki.scrape("http://en.wikipedia.org/w/api.php?action=parse&format=json&page=" + title)
html = json.loads(raw_json)['parse']['text']['*']
return html
page_title = "ISO_3166-1"
html = get_html(page_title)
doc = lxml.html.fromstring(html)
for count, tr in enumerate(doc.cssselect('tr')):
row = [(td.text_content()) for td in tr.cssselect('td')]
if len(row)==5:
for ahref in tr.cssselect('a'):
detailink = ahref.attrib['href']
if detailink.find(':',0,len(detailink)) != -1:
detailink = detailink[6:]
print detailink
now = datetime.datetime.now()
data ={"tmsp_scraped":str(now), "eng_short_name":row[0], "alpha_2_code":row[1], "alpha_3_code":row[2], "numeric_code":row[3], "iso_31662_code":detailink}
scraperwiki.sqlite.save(unique_keys=["eng_short_name"], data=data, table_name="s_iso31661")
html = get_html(detailink)
doc = lxml.html.fromstring(html)
for count, tr in enumerate(doc.cssselect('tr')):
row = [td.text_content() for td in tr.cssselect('td')]
row2 = [td.text_content() for td in tr.cssselect('td')]
if len(row)>0:
if row[0][:2] == detailink[11:]:
now = datetime.datetime.now()
data = {"tmsp_scraped":str(now), "iso_31662_code":detailink, "region_code":row[0], "region_desc":row[1], "region_desc_utf8":row2[1]}
scraperwiki.sqlite.save(unique_keys=["iso_31662_code","region_code"], data=data, table_name="s_iso31662_region")
一个更好的库:https : //github.com/neuront/python-iso3166
Open Knowledge Foundation上还有一个很棒的数据集,其中包括ISO 3166 alpha3,alpha2,数字以及许多其他数据集。
我在github仓库上找到了一个很好的数据库-https: //github.com/stefangabos/world_countries
在编写存储库的时刻包括json
,csv
,sql
22种语言,不同国家代码的文件:ISO 3166-1阿尔法-3,ISO 3166-1的α-2和全名。
数据库似乎定期更新
带有Wikipedia文章的 3个字母的ISO国家/地区代码的php数组
我从Wikipedia复制并粘贴了列表,并创建了数组。也许这段代码可以帮助某人节省一些时间,但要创建一组国家代码。我不熟悉python,但数组创建应类似于php。
$Countries=array();
array_push($Countries,"ABW");
array_push($Countries,"AFG");
array_push($Countries,"AGO");
array_push($Countries,"AIA");
array_push($Countries,"ALA");
array_push($Countries,"ALB");
array_push($Countries,"AND");
array_push($Countries,"ARE");
array_push($Countries,"ARG");
array_push($Countries,"ARM");
array_push($Countries,"ASM");
array_push($Countries,"ATA");
array_push($Countries,"ATF");
array_push($Countries,"ATG");
array_push($Countries,"AUS");
array_push($Countries,"AUT");
array_push($Countries,"AZE");
array_push($Countries,"BDI");
array_push($Countries,"BEL");
array_push($Countries,"BEN");
array_push($Countries,"BES");
array_push($Countries,"BFA");
array_push($Countries,"BGD");
array_push($Countries,"BGR");
array_push($Countries,"BHR");
array_push($Countries,"BHS");
array_push($Countries,"BIH");
array_push($Countries,"BLM");
array_push($Countries,"BLR");
array_push($Countries,"BLZ");
array_push($Countries,"BMU");
array_push($Countries,"BOL");
array_push($Countries,"BRA");
array_push($Countries,"BRB");
array_push($Countries,"BRN");
array_push($Countries,"BTN");
array_push($Countries,"BVT");
array_push($Countries,"BWA");
array_push($Countries,"CAF");
array_push($Countries,"CAN");
array_push($Countries,"CCK");
array_push($Countries,"CHE");
array_push($Countries,"CHL");
array_push($Countries,"CHN");
array_push($Countries,"CIV");
array_push($Countries,"CMR");
array_push($Countries,"COD");
array_push($Countries,"COG");
array_push($Countries,"COK");
array_push($Countries,"COL");
array_push($Countries,"COM");
array_push($Countries,"CPV");
array_push($Countries,"CRI");
array_push($Countries,"CUB");
array_push($Countries,"CUW");
array_push($Countries,"CXR");
array_push($Countries,"CYM");
array_push($Countries,"CYP");
array_push($Countries,"CZE");
array_push($Countries,"DEU");
array_push($Countries,"DJI");
array_push($Countries,"DMA");
array_push($Countries,"DNK");
array_push($Countries,"DOM");
array_push($Countries,"DZA");
array_push($Countries,"ECU");
array_push($Countries,"EGY");
array_push($Countries,"ERI");
array_push($Countries,"ESH");
array_push($Countries,"ESP");
array_push($Countries,"EST");
array_push($Countries,"ETH");
array_push($Countries,"FIN");
array_push($Countries,"FJI");
array_push($Countries,"FLK");
array_push($Countries,"FRA");
array_push($Countries,"FRO");
array_push($Countries,"FSM");
array_push($Countries,"GAB");
array_push($Countries,"GBR");
array_push($Countries,"GEO");
array_push($Countries,"GGY");
array_push($Countries,"GHA");
array_push($Countries,"GIB");
array_push($Countries,"GIN");
array_push($Countries,"GLP");
array_push($Countries,"GMB");
array_push($Countries,"GNB");
array_push($Countries,"GNQ");
array_push($Countries,"GRC");
array_push($Countries,"GRD");
array_push($Countries,"GRL");
array_push($Countries,"GTM");
array_push($Countries,"GUF");
array_push($Countries,"GUM");
array_push($Countries,"GUY");
array_push($Countries,"HKG");
array_push($Countries,"HMD");
array_push($Countries,"HND");
array_push($Countries,"HRV");
array_push($Countries,"HTI");
array_push($Countries,"HUN");
array_push($Countries,"IDN");
array_push($Countries,"IMN");
array_push($Countries,"IND");
array_push($Countries,"IOT");
array_push($Countries,"IRL");
array_push($Countries,"IRN");
array_push($Countries,"IRQ");
array_push($Countries,"ISL");
array_push($Countries,"ISR");
array_push($Countries,"ITA");
array_push($Countries,"JAM");
array_push($Countries,"JEY");
array_push($Countries,"JOR");
array_push($Countries,"JPN");
array_push($Countries,"KAZ");
array_push($Countries,"KEN");
array_push($Countries,"KGZ");
array_push($Countries,"KHM");
array_push($Countries,"KIR");
array_push($Countries,"KNA");
array_push($Countries,"KOR");
array_push($Countries,"KWT");
array_push($Countries,"LAO");
array_push($Countries,"LBN");
array_push($Countries,"LBR");
array_push($Countries,"LBY");
array_push($Countries,"LCA");
array_push($Countries,"LIE");
array_push($Countries,"LKA");
array_push($Countries,"LSO");
array_push($Countries,"LTU");
array_push($Countries,"LUX");
array_push($Countries,"LVA");
array_push($Countries,"MAC");
array_push($Countries,"MAF");
array_push($Countries,"MAR");
array_push($Countries,"MCO");
array_push($Countries,"MDA");
array_push($Countries,"MDG");
array_push($Countries,"MDV");
array_push($Countries,"MEX");
array_push($Countries,"MHL");
array_push($Countries,"MKD");
array_push($Countries,"MLI");
array_push($Countries,"MLT");
array_push($Countries,"MMR");
array_push($Countries,"MNE");
array_push($Countries,"MNG");
array_push($Countries,"MNP");
array_push($Countries,"MOZ");
array_push($Countries,"MRT");
array_push($Countries,"MSR");
array_push($Countries,"MTQ");
array_push($Countries,"MUS");
array_push($Countries,"MWI");
array_push($Countries,"MYS");
array_push($Countries,"MYT");
array_push($Countries,"NAM");
array_push($Countries,"NCL");
array_push($Countries,"NER");
array_push($Countries,"NFK");
array_push($Countries,"NGA");
array_push($Countries,"NIC");
array_push($Countries,"NIU");
array_push($Countries,"NLD");
array_push($Countries,"NOR");
array_push($Countries,"NPL");
array_push($Countries,"NRU");
array_push($Countries,"NZL");
array_push($Countries,"OMN");
array_push($Countries,"PAK");
array_push($Countries,"PAN");
array_push($Countries,"PCN");
array_push($Countries,"PER");
array_push($Countries,"PHL");
array_push($Countries,"PLW");
array_push($Countries,"PNG");
array_push($Countries,"POL");
array_push($Countries,"PRI");
array_push($Countries,"PRK");
array_push($Countries,"PRT");
array_push($Countries,"PRY");
array_push($Countries,"PSE");
array_push($Countries,"PYF");
array_push($Countries,"QAT");
array_push($Countries,"REU");
array_push($Countries,"ROU");
array_push($Countries,"RUS");
array_push($Countries,"RWA");
array_push($Countries,"SAU");
array_push($Countries,"SDN");
array_push($Countries,"SEN");
array_push($Countries,"SGP");
array_push($Countries,"SGS");
array_push($Countries,"SHN");
array_push($Countries,"SJM");
array_push($Countries,"SLB");
array_push($Countries,"SLE");
array_push($Countries,"SLV");
array_push($Countries,"SMR");
array_push($Countries,"SOM");
array_push($Countries,"SPM");
array_push($Countries,"SRB");
array_push($Countries,"SSD");
array_push($Countries,"STP");
array_push($Countries,"SUR");
array_push($Countries,"SVK");
array_push($Countries,"SVN");
array_push($Countries,"SWE");
array_push($Countries,"SWZ");
array_push($Countries,"SXM");
array_push($Countries,"SYC");
array_push($Countries,"SYR");
array_push($Countries,"TCA");
array_push($Countries,"TCD");
array_push($Countries,"TGO");
array_push($Countries,"THA");
array_push($Countries,"TJK");
array_push($Countries,"TKL");
array_push($Countries,"TKM");
array_push($Countries,"TLS");
array_push($Countries,"TON");
array_push($Countries,"TTO");
array_push($Countries,"TUN");
array_push($Countries,"TUR");
array_push($Countries,"TUV");
array_push($Countries,"TWN");
array_push($Countries,"TZA");
array_push($Countries,"UGA");
array_push($Countries,"UKR");
array_push($Countries,"UMI");
array_push($Countries,"URY");
array_push($Countries,"USA");
array_push($Countries,"UZB");
array_push($Countries,"VAT");
array_push($Countries,"VCT");
array_push($Countries,"VEN");
array_push($Countries,"VGB");
array_push($Countries,"VIR");
array_push($Countries,"VNM");
array_push($Countries,"VUT");
array_push($Countries,"WLF");
array_push($Countries,"WSM");
array_push($Countries,"YEM");
array_push($Countries,"ZAF");
array_push($Countries,"ZMB");
array_push($Countries,"ZWE");
如果您不想对国家/地区列表进行硬编码(我不建议这样做,因为它会更改很多),请使用此URL,从中获取JSON格式的2个字母的代码和国家/地区名称: annsystem.com/api / getCountry
它还包括联合国和非联合国成员国。
有关详细信息和参数,请参见此处:flossk.org/en/blog/country-list-good-all
如果有任何R用户偶然发现此线程,这是R解决方案:
该countrycode
软件包包含许多不同格式的国家代码的完整列表。从包装文件中:
支持以下编码方案:战争字符,CoW数字,ISO3字符,ISO3数字,ISO2字符,IMF数字,国际奥委会,FIPS 10-4,FAO数字,联合国数字,世界银行字符,官方英文缩写国家名称(ISO),大陆,地区。
该软件包还将在不同的代码之间转换,并可以使用正则表达式按标准或非标准名称来标识国家。
library(countrycode)
# data frame of country names and codes
head(countrycode_data)
# convert from CoW to ISO3
countrycode(c("ALG","ALB","UKG","CAN","USA"), origin = "cowc", destination = "iso3c")
# ISO2 code from non-standard name
countrycode("Britain", "country.name", "iso2c")
这是一个旧线程,但是值得为此进行更新。
在Alpha2和Alpha3国家/地区代码上进行正向/反向查询,返回每个国家/地区的庞大对象,其中包括电话代码,货币,iso信息,IOC信息,邮政编码等:https : //github.com/rolinger/iso-country -数据验证/设置
要检索国家/地区信息(名称,ISO 2字符,ISO 3字符...),您可以在angrymonkeycloud.com/geography上使用此NuGet软件包。
这是一个免费的.Net客户端,可从RESTful API检索信息。