元のファイル (SVG ファイル、512 × 448 ピクセル、ファイルサイズ: 127キロバイト)
解説Comparison gender life expectancy CIA factbook.svgEnglish: Comparison of male and female life expectancy at birth for countries and territories as defined in the 2011 CIA Factbook, with selected bubbles labelled. Hover over a bubble to highlight it and show its data. The green line corresponds to equal female and male life expectancy. The apparent 3D volumes of the bubbles are linearly proportional to their population, i.e. their radii are linearly proportional to the cube root of the population. Data is from https://www.cia.gov/library/publications/the-world-factbook/fields/2102.html
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概要
原典投稿者自身による著作物
作者Cmglee
その他のバージョンDerivative chart based on data of WHO: File:Comparison gender life expectancy WHO.svg
SVG 開発InfoField このSVGのソースコードは正しい. この 旗は不明のSVGツールで作成されました。 ?このSVG旗は埋込み文を用いており，テキストエディタを用いて容易に翻訳することができますいます。
Python script to fetch data and update data tableimport re, os, urllib2, time, datetime, collectionsdata_oldss = [line.split('|') for line in '''\-1|WORLD|69|67|71.1|7323187457|--20|EUROPEAN UNION|80.2|77.4|83.2|515052778|-20|China|75.5|73.5|77.9|1373541278|ea10|India|68.5|67.3|69.8|1266883598|as25|USA|79.8|77.5|82.1|323995528|na|Indonesia|72.7|70.1|75.5|258316051|ea|Brazil|73.8|70.2|77.5|205823665|sa|Pakistan|67.7|65.8|69.8|201995540|as-20|Nigeria|53.4|52.4|54.5|186053386|af|Bangladesh|73.2|71|75.4|156186882|as-10|Russia|70.8|65|76.8|142355415|eu1|Japan|85|81.7|88.5|126702133|ea|Mexico|75.9|73.1|78.8|123166749|na|Philippines|69.2|65.7|72.9|102624209|ea|Ethiopia|62.2|59.8|64.7|102374044|af|Vietnam|73.4|70.9|76.2|95261021|ea|Egypt|72.7|71.4|74.2|94666993|af|Iran|71.4|69.8|73.1|82801633|me-15|DR Congo|57.3|55.8|58.9|81331050|af|Germany|80.7|78.4|83.1|80722792|eu|Turkey|74.8|72.5|77.3|80274604|me|Thailand|74.7|71.5|78|68200824|ea|France|81.8|78.7|85.1|66836154|eu12|UK|80.7|78.5|83|64430428|eu|Italy|82.2|79.6|85|62007540|eu|Burma|66.6|64.2|69.2|56890418|ea|South Africa|63.1|61.6|64.6|54300704|af|Tanzania|62.2|60.8|63.6|52482726|af|Korea, South|82.4|79.3|85.8|50924172|ea|Spain|81.7|78.7|84.9|48563476|eu|Colombia|75.7|72.6|79|47220856|sa|Kenya|64|62.6|65.5|46790758|af|Ukraine|71.8|67.1|76.9|44209733|eu|Argentina|77.1|74|80.4|43886748|sa|Algeria|76.8|75.5|78.2|40263711|af|Poland|77.6|73.7|81.7|38523261|eu|Uganda|55.4|54|56.9|38319241|af|Iraq|74.9|72.6|77.2|38146025|me|Sudan|64.1|62|66.3|36729501|af|Canada|81.9|79.2|84.6|35362905|na|Morocco|76.9|73.8|80.1|33655786|af-15|Afghanistan|51.3|49.9|52.7|33332025|as|Malaysia|75|72.2|78|30949962|ea|Venezuela|75.8|72.7|78.9|30912302|sa|Peru|73.7|71.7|75.9|30741062|sa|Uzbekistan|73.8|70.7|77|29473614|ca|Nepal|70.7|70.1|71.3|29033914|as|Saudi Arabia|75.3|73.2|77.4|28160273|me|Yemen|65.5|63.4|67.8|27392779|me|Ghana|66.6|64.1|69.1|26908262|af|Mozambique|53.3|52.6|54.1|25930150|af|Korea, North|70.4|66.6|74.5|25115311|ea|Madagascar|65.9|64.4|67.4|24430325|af|Cameroon|58.5|57.1|59.9|24360803|af|Cote d'Ivoire|58.7|57.5|59.9|23740424|af|Taiwan|80.1|77|83.5|23464787|ea|Australia|82.2|79.8|84.8|22992654|oc|Sri Lanka|76.8|73.3|80.4|22235000|as|Romania|75.1|71.7|78.8|21599736|eu|Angola|56|54.8|57.2|20172332|af|Burkina Faso|55.5|53.4|57.6|19512533|af|Niger|55.5|54.3|56.8|18638600|af|Malawi|61.2|59.2|63.2|18570321|af|Kazakhstan|70.8|65.6|75.7|18360353|ca|Chile|78.8|75.7|81.9|17650114|sa|Mali|55.8|53.9|57.7|17467108|af|Syria|74.9|72.5|77.4|17185170|me|Netherlands|81.3|79.2|83.6|17016967|eu|Ecuador|76.8|73.8|79.9|16080778|sa|Cambodia|64.5|62|67.1|15957223|ea|Zambia|52.5|50.8|54.1|15510711|af|Guatemala|72.3|70.3|74.4|15189958|la|Zimbabwe|58|57.3|58.7|14546961|af|Senegal|61.7|59.7|63.8|14320055|af|Rwanda|60.1|58.5|61.7|12988423|af|Guinea|60.6|59|62.2|12093349|af-1|Chad|50.2|49|51.5|11852462|af|Belgium|81|78.4|83.7|11409077|eu|Cuba|78.7|76.4|81.1|11179995|la|Tunisia|76.1|74|78.4|11134588|af|Burundi|60.5|58.8|62.3|11099298|af|Bolivia|69.2|66.4|72.1|10969649|sa|Portugal|79.3|76.1|82.8|10833816|eu|Somalia|52.4|50.3|54.5|10817354|af|Greece|80.5|77.9|83.3|10773253|eu|Benin|61.9|60.5|63.3|10741458|af|Czechia|78.6|75.7|81.8|10644842|eu|Dominican Republic|78.1|75.9|80.5|10606865|la|Haiti|63.8|61.2|66.4|10485800|la|Sweden|82.1|80.2|84.1|9880604|eu|Hungary|75.9|72.2|79.8|9874784|eu|Azerbaijan|72.5|69.5|75.8|9872765|me-17|Belarus|72.7|67.2|78.6|9570376|eu|Honduras|71.1|69.5|72.8|8893259|la|Austria|81.5|78.9|84.3|8711770|eu|Tajikistan|67.7|64.6|71|8330946|ca|Jordan|74.6|73.2|76.1|8185384|me|Switzerland|82.6|80.3|85|8179294|eu|Israel|82.4|80.6|84.4|8174527|me|Togo|65|62.3|67.7|7756937|af|Hong Kong|82.9|80.3|85.8|7167403|ea|Bulgaria|74.5|71.2|78|7144653|eu|Serbia|75.5|72.6|78.5|7143921|eu|Laos|64.3|62.2|66.4|7019073|ea|Paraguay|77.2|74.5|80|6862812|sa|Papua New Guinea|67.2|65|69.5|6791317|ea|Libya|76.5|74.7|78.3|6541948|af|Lebanon|77.6|76.3|78.9|6237738|me|El Salvador|74.7|71.4|78.1|6156670|la|Sierra Leone|58.2|55.6|60.9|6018888|af|Nicaragua|73.2|71.1|75.5|5966798|la|United Arab Emirates|77.5|74.8|80.2|5927482|me|Eritrea|64.9|62.4|67.5|5869869|af10|Singapore|85|82.3|87.8|5781728|ea|Kyrgyzstan|70.7|66.5|75.1|5727553|ca|Denmark|79.4|77|82|5593785|eu|Central African Republic|52.3|51|53.7|5507257|af|Finland|80.9|77.9|84|5498211|eu|Slovakia|77.1|73.5|80.9|5445802|eu|Turkmenistan|70.1|67.1|73.3|5291317|ca|Norway|81.8|79.8|83.9|5265158|eu|Ireland|80.8|78.5|83.2|4952473|eu|Georgia|76.2|72.1|80.6|4928052|me|Costa Rica|78.6|75.9|81.4|4872543|la|Congo, Republic of the|59.3|58.1|60.6|4852412|af|New Zealand|81.2|79.1|83.3|4474549|oc|Croatia|75.9|72.7|79.2|4313707|eu|Liberia|59|57.3|60.8|4299944|af|Bosnia and Herzegovina|76.7|73.7|80|3861912|eu|Panama|78.6|75.8|81.6|3705246|la|Mauritania|63|60.7|65.4|3677293|af|Puerto Rico|79.4|75.8|83.1|3578056|la|Moldova|70.7|66.9|74.8|3510485|eu|Oman|75.5|73.5|77.5|3355262|me|Uruguay|77.2|74.1|80.5|3351016|sa|Armenia|74.6|71.4|78.3|3051250|me|Albania|78.3|75.7|81.2|3038594|eu|Mongolia|69.6|65.4|74.1|3031330|ea|Jamaica|73.6|72|75.3|2970340|la|Lithuania|74.9|69.5|80.6|2854235|eu|Kuwait|78|76.6|79.4|2832776|me|West Bank|75|73|77.1|2697687|me|Namibia|63.6|62.1|65.1|2436469|af|Qatar|78.7|76.7|80.8|2258283|me1|Botswana|54.5|56.3|52.6|2209208|af|Macedonia|76.2|73.6|79|2100025|eu|Gambia, The|64.9|62.5|67.3|2009648|af|Slovenia|78.2|74.6|82|1978029|eu|Latvia|74.5|69.9|79.3|1965686|eu|Lesotho|53|52.9|53.1|1953070|af-2|Guinea-Bissau|50.6|48.6|52.7|1759159|af|Gaza Strip|73.9|72.3|75.7|1753327|me|Gabon|52.1|51.6|52.5|1738541|af1|Swaziland|51.6|52.2|51|1451428|af|Bahrain|78.9|76.7|81.1|1378904|me|Mauritius|75.6|72.2|79.2|1348242|af|Timor-Leste|68.1|66.5|69.7|1261072|ea|Estonia|76.7|71.9|81.7|1258545|eu|Trinidad and Tobago|72.9|69.9|75.9|1220479|la|Cyprus|78.7|75.8|81.6|1205575|eu|Fiji|72.7|70|75.5|915303|oc|Djibouti|63.2|60.7|65.8|846687|af|Comoros|64.2|61.9|66.6|794678|af|Equatorial Guinea|64.2|63.1|65.4|759451|af|Bhutan|70.1|69.1|71.1|750125|as|Guyana|68.4|65.4|71.5|735909|sa|Solomon Islands|75.3|72.7|78.1|635027|oc-10|Macau|84.5|81.6|87.6|597425|ea|Western Sahara|63|60.7|65.4|587020|af|Suriname|72.2|69.8|74.8|585824|sa|Luxembourg|82.3|79.8|84.9|582291|eu|Cabo Verde|72.1|69.8|74.5|553432|af|Brunei|77.2|74.8|79.6|436620|ea|Malta|80.4|78|82.8|415196|eu|Maldives|75.6|73.3|78|392960|as|Belize|68.7|67.2|70.4|353858|la|Iceland|83|80.9|85.3|335878|eu|Bahamas, The|72.4|70|74.8|327316|la|Barbados|75.3|73|77.7|291495|la|French Polynesia|77.2|74.9|79.6|285321|oc|Vanuatu|73.4|71.8|75.1|277554|oc|New Caledonia|77.7|73.7|81.9|275355|oc|Samoa|73.7|70.8|76.8|198926|oc|Sao Tome and Principe|64.9|63.6|66.3|197541|af|Saint Lucia|77.8|75|80.7|164464|la|Guam|79.1|76.1|82.4|162742|oc|Curacao|78.3|76|80.7|149035|la|Aruba|76.8|73.7|79.9|113648|la|Grenada|74.3|71.7|77.1|111219|la|Kiribati|66.2|63.7|68.8|106925|oc|Tonga|76.2|74.7|77.8|106513|oc|Micronesia, Federated States of|72.9|70.8|75|104719|oc|Virgin Islands|80|77|83.2|102951|la|Saint Vincent and the Grenadines|75.3|73.3|77.4|102350|la|Jersey|81.9|79.4|84.5|98069|eu|Antigua and Barbuda|76.5|74.4|78.8|93581|la|Seychelles|74.7|70.2|79.4|93186|af|Isle of Man|81.2|79.5|83|88195|eu|Andorra|82.8|80.6|85.1|85660|eu|Dominica|77|74|80.1|73757|la|Marshall Islands|73.1|70.9|75.4|73376|oc|Bermuda|81.3|78.1|84.5|70537|na|Guernsey|82.5|79.9|85.4|66297|eu|Greenland|72.4|69.7|75.2|57728|na|Cayman Islands|81.2|78.5|84|57268|la|American Samoa|75.4|72.4|78.5|54194|oc|Northern Mariana Islands|78|75.3|80.8|53467|oc|Saint Kitts and Nevis|75.7|73.3|78.2|52329|la|Turks and Caicos Islands|79.8|77.1|82.7|51430|la|Faroe Islands|80.4|77.8|83.1|50456|eu|Sint Maarten|78.1|75.8|80.6|41486|la|Liechtenstein|81.9|79.7|84.6|37937|eu|British Virgin Islands|78.6|77.2|80.1|34232|la|San Marino|83.3|80.7|86.1|33285|eu-1|Monaco|89.5|85.6|93.5|30581|eu|Gibraltar|79.4|76.6|82.5|29328|eu|Palau|73.1|69.9|76.5|21347|oc|Anguilla|81.4|78.8|84.1|16752|la|Wallis and Futuna|79.7|76.7|82.8|15664|oc|Tuvalu|66.5|64.3|68.8|10959|oc|Nauru|67.1|63|70.5|9591|oc|Cook Islands|75.8|73|78.8|9556|oc|Saint Helena, Ascension, and Tristan da Cunha|79.5|76.6|82.6|7795|af|Saint Pierre and Miquelon|80.5|78.2|83|5595|na1|Montserrat|74.4|75.8|72.9|5267|la|Falkland Islands (Islas Malvinas)|77.9|75.6|79.6|2931|sa|Svalbard|NA|NA|NA|2667|eu|Norfolk Island|NA|NA|NA|2210|oc|Christmas Island|NA|NA|NA|2205|oc|Tokelau|NA|NA|NA|1285|oc|Niue|NA|NA|NA|1190|oc|Cocos (Keeling) Islands|NA|NA|NA|596|oc|Pitcairn Islands|NA|NA|NA|54|oc'''.strip().split('\n')]# do_refresh_cache = Truedef read_url(url, headers={}, path_cache=None, is_verbose=True): if (path_cache is None): file_cache = os.path.basename(url) path_cache = os.path.join('%s.cache' % (os.path.splitext(__file__)[0]), file_cache if (len(file_cache) > 0) else '%s.htm' % (os.path.basename(url.rstrip('/')))) if (('do_refresh_cache' in globals() and do_refresh_cache) or (not os.path.isfile(path_cache))): request = urllib2.Request(url, headers=headers) try: html = urllib2.urlopen(request).read() except urllib2.HTTPError as e: html = ''; print(e) try: os.makedirs(os.path.dirname(path_cache)) except OSError: pass with open(path_cache, 'wb') as f_html: f_html.write(html) if (is_verbose): print('%s > %s' % (url, path_cache)) time.sleep(1) ## avoid rate-limit-exceeded error else: with open(path_cache) as f_html: html = f_html.read() if (is_verbose): print('< %s' % (path_cache)) try: html = html.decode('utf-8') except UnicodeDecodeError: pass return htmldef fmt(string): ## string.format(**vars()) using tags {expression!format} by CMG Lee def f(tag): i_sep = tag.rfind('!'); return (re.sub('\.0+$', '', str(eval(tag[1:-1]))) if (i_sep < 0) else ('{:%s}' % tag[i_sep + 1:-1]).format(eval(tag[1:i_sep]))) return (re.sub(r'(?<!{){[^{}]+}', lambda m:f(m.group()), string) .replace('{{', '{').replace('}}', '}'))def append(obj, string): return obj.append(fmt(string))def format_tab(*arg): return '\t'.join([str(el) for el in (arg if len(arg) > 1 else arg[0])])def tabbify(cellss, separator='|'): cellpadss = [list(rows) + [''] * (len(max(cellss, key=len)) - len(rows)) for rows in cellss] fmts = ['%%%ds' % (max([len(str(cell)) for cell in cols])) for cols in zip(*cellpadss)] return '\n'.join([separator.join(fmts) % tuple(rows) for rows in cellpadss])def hex_rgb(colour): ## convert [#]RGB to #RRGGBB and [#]RRGGBB to #RRGGBB return '#%s' % (colour if len(colour) > 4 else ''.join([c * 2 for c in colour])).lstrip('#')def try_int_float(field): try: return int(field) except: try: return float(field) except: return fielddef roundm(x, multiple=1): try: x[0]; return [roundm(element, multiple) for element in x] ## x[0] checks if x is iterable except: return int(math.floor(float(x) / multiple + 0.5)) * multipledef findall(regex, string): return re.findall(regex, string, flags=re.I|re.DOTALL)def sub(regex_replace, regex_with, string): return str(re.sub(regex_replace, regex_with, string, flags=re.DOTALL).strip())def make_serial(name): return sub(r'[^a-z]', '', name.lower())def make_table(datass): return '\n'.join(['|'.join([str(data) for data in datas]) for datas in datass])data_newss = {}html_expectancy = read_url('http://cia.gov/library/publications/resources/the-world-factbook/fields/355.html')html_expectancyss = findall(r'(<td.+?</td>)\s*(<td.+?</td>)', html_expectancy)for html_expectancys in html_expectancyss: html_divs = findall(r'<div.+?</div>', html_expectancys[1]) name = sub(r'<.*?>', '', html_expectancys[0]) serial = make_serial(name) # expectancy_male = None # expectancy_female = None # try: expectancy_male = float(findall(r'[\d.]+(?= years)', html_divs[1])[0]) # except Exception: pass # try: expectancy_female = float(findall(r'[\d.]+(?= years)', html_divs[2])[0]) # except Exception: pass # if (not serial in data_newss): data_newss[serial] = {} # data_newss[serial]['male' ] = expectancy_male # data_newss[serial]['female'] = expectancy_female try: expectancy_overall = float(findall(r'(?:[\d.]+(?= years)|\d+\.\d+)', html_divs[0])[0]) expectancy_male = float(findall(r'(?:[\d.]+(?= years)|\d+\.\d+)', html_divs[1])[0]) expectancy_female = float(findall(r'(?:[\d.]+(?= years)|\d+\.\d+)', html_divs[2])[0]) if (not serial in data_newss): data_newss[serial] = {} data_newss[serial]['overall'] = expectancy_overall data_newss[serial]['male' ] = expectancy_male data_newss[serial]['female' ] = expectancy_female except Exception: passhtml_population = read_url('http://cia.gov/library/publications/resources/the-world-factbook/fields/335.html')html_populationss = findall(r'(<td.+?</td>)\s*(<td.+?</td>)', html_population)for html_populations in html_populationss: name = sub(r'<.*?>', '', html_populations[0]) serial = make_serial(name) # population = None # if (not 'no indigenous' in html_populations[1]): # try: population = int(sub(',','',findall(r'[\d,]+', html_populations[1])[0])) # except Exception: pass # if (not serial in data_newss): data_newss[serial] = {} # data_newss[serial]['population'] = population if (not 'no indigenous' in html_populations[1]): try: population = int(sub(',','',findall(r'[\d,]+', html_populations[1])[0])) if (not serial in data_newss): data_newss[serial] = {} data_newss[serial]['name'] = name data_newss[serial]['population'] = population except Exception: passoutss = []for serial in sorted(data_newss): data_news = data_newss[serial] try: outss.append([serial, data_news['name'], data_news['population'], data_news['overall'], data_news['male'], data_news['female']]) # data_news['population'] if ('population' in data_news) else None, # data_news['male'] if ('male' in data_news) else None, # data_news['female'] if ('female' in data_news) else None]) except Exception: pass # print(data_newss.pop(serial))# print(tabbify(outss))outss = []# print(tabbify(data_oldss))map_keeps = {'usa':'unitedstates', 'uk':'unitedkingdom', 'drcongo':'congodemocraticrepublicofthe'}map_changes = {'swaziland':'eswatini'}for data_olds in data_oldss: name = data_olds[1] serial = make_serial(name) data_news = None try: if (serial in map_keeps): serial = map_keeps[serial] if (serial in map_changes): serial = map_changes[serial] data_news = data_newss[serial] name = data_news['name'] else: data_news = data_newss[serial] except Exception: pass outss.append([data_olds[0], name, # data_news['name' ] if ('name' in data_news) else 'NA', data_news['overall' ] if ('overall' in data_news) else 'NA', data_news['male' ] if ('male' in data_news) else 'NA', data_news['female' ] if ('female' in data_news) else 'NA', data_news['population'] if ('population' in data_news) else 'NA', data_olds[6]]) # outss.append(data_olds) if (name != data_news['name']): print(name, data_news['name'])# print(tabbify(outss))outss = outss[:2] + sorted(outss[2:], key=lambda lines:lines[5], reverse=True)dir_cache = '%s.cache' % (os.path.splitext(__file__)[0])with open(os.path.join(dir_cache, 'old.txt'), 'w') as f: f.write(make_table(data_oldss))with open(os.path.join(dir_cache, 'new.txt'), 'w') as f: f.write(make_table(outss))
