How to use pyecharts to draw geographical charts in Python

Map Template Series

China Map

Shows all the provinces in China, a complete simple geographical figure of China, making it easier for you to understand the distribution of cities!

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c = (
Map()
.add("城市", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
.set_global_opts(title_opts=opts.TitleOpts(title="中国地图"))
.render("中国地图.html")
)
print([list(z) for z in zip(Faker.provinces, Faker.values())])

Provincial data map (Chongqing map)

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker
x=["巫山县","万州区","云阳县","奉节县"]
y=[123,560,456,362]
c = (
Map(init_opts=opts.InitOpts(width="1400px", height="700px"))
.add("城市", [list(z) for z in zip(x,y)], "重庆")
.set_global_opts(
title_opts=opts.TitleOpts(title="重庆地图"), visualmap_opts=opts.VisualMapOpts(max_=560)
)
.render("重庆地图.html")
)

##Chinese cities Map data map (segmented type)

displays provinces in China, just provide data, displays segmented data buttons, and can also be controlled by the mouse, come and take a look!

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c = (
Map(init_opts=opts.InitOpts(width="1400px", height="700px"))
.add("城市", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
.set_global_opts(
title_opts=opts.TitleOpts(title="中国人口地图）"),
visualmap_opts=opts.VisualMapOpts(max_=200, is_piecewise=True),
)
.render("中国分段地图.html")
)

World Map

It should be noted that we need to know the English name of each country, and pay attention to the same language as the map() of pyecharts, otherwise it will not work .

The official comparison table is provided here, this is too powerful!

{
"Somalia": "索马里",
"Liechtenstein": "列支敦士登",
"Morocco": "摩洛哥",
"W. Sahara": "西撒哈拉",
"Serbia": "塞尔维亚",
"Afghanistan": "阿富汗",
"Angola": "安哥拉",
"Albania": "阿尔巴尼亚",
"Andorra": "安道尔共和国",
"United Arab Emirates": "阿拉伯联合酋长国",
"Argentina": "阿根廷",
"Armenia": "亚美尼亚",
"Australia": "澳大利亚",
"Austria": "奥地利",
"Azerbaijan": "阿塞拜疆",
"Burundi": "布隆迪",
"Belgium": "比利时",
"Benin": "贝宁",
"Burkina Faso": "布基纳法索",
"Bangladesh": "孟加拉国",
"Bulgaria": "保加利亚",
"Bahrain": "巴林",
"Bahamas": "巴哈马",
"Bosnia and Herz.": "波斯尼亚和黑塞哥维那",
"Belarus": "白俄罗斯",
"Belize": "伯利兹",
"Bermuda": "百慕大",
"Bolivia": "玻利维亚",
"Brazil": "巴西",
"Barbados": "巴巴多斯",
"Brunei": "文莱",
"Bhutan": "不丹",
"Botswana": "博茨瓦纳",
"Central African Rep.": "中非",
"Canada": "加拿大",
"Switzerland": "瑞士",
"Chile": "智利",
"China": "中国",
"Côte d'Ivoire": "科特迪瓦",
"Cameroon": "喀麦隆",
"Dem. Rep. Congo": "刚果民主共和国",
"Congo": "刚果",
"Colombia": "哥伦比亚",
"Cape Verde": "佛得角",
"Costa Rica": "哥斯达黎加",
"Cuba": "古巴",
"N. Cyprus": "北塞浦路斯",
"Cyprus": "塞浦路斯",
"Czech Rep.": "捷克",
"Germany": "德国",
"Djibouti": "吉布提",
"Denmark": "丹麦",
"Dominican Rep.": "多米尼加",
"Algeria": "阿尔及利亚",
"Ecuador": "厄瓜多尔",
"Egypt": "埃及",
"Eritrea": "厄立特里亚",
"Spain": "西班牙",
"Estonia": "爱沙尼亚",
"Ethiopia": "埃塞俄比亚",
"Finland": "芬兰",
"Fiji": "斐济",
"France": "法国",
"Gabon": "加蓬",
"United Kingdom": "英国",
"Georgia": "格鲁吉亚",
"Ghana": "加纳",
"Guinea": "几内亚",
"Gambia": "冈比亚",
"Guinea-Bissau": "几内亚比绍",
"Eq. Guinea": "赤道几内亚",
"Greece": "希腊",
"Grenada": "格林纳达",
"Greenland": "格陵兰",
"Guatemala": "危地马拉",
"Guam": "关岛",
"Guyana": "圭亚那",
"Honduras": "洪都拉斯",
"Croatia": "克罗地亚",
"Haiti": "海地",
"Hungary": "匈牙利",
"Indonesia": "印度尼西亚",
"India": "印度",
"Br. Indian Ocean Ter.": "英属印度洋领土",
"Ireland": "爱尔兰",
"Iran": "伊朗",
"Iraq": "伊拉克",
"Iceland": "冰岛",
"Israel": "以色列",
"Italy": "意大利",
"Jamaica": "牙买加",
"Jordan": "约旦",
"Japan": "日本",
"Siachen Glacier": "锡亚琴冰川",
"Kazakhstan": "哈萨克斯坦",
"Kenya": "肯尼亚",
"Kyrgyzstan": "吉尔吉斯坦",
"Cambodia": "柬埔寨",
"Korea": "韩国",
"Kuwait": "科威特",
"Lao PDR": "老挝",
"Lebanon": "黎巴嫩",
"Liberia": "利比里亚",
"Libya": "利比亚",
"Sri Lanka": "斯里兰卡",
"Lesotho": "莱索托",
"Lithuania": "立陶宛",
"Luxembourg": "卢森堡",
"Latvia": "拉脱维亚",
"Moldova": "摩尔多瓦",
"Madagascar": "马达加斯加",
"Mexico": "墨西哥",
"Macedonia": "马其顿",
"Mali": "马里",
"Malta": "马耳他",
"Myanmar": "缅甸",
"Montenegro": "黑山",
"Mongolia": "蒙古",
"Mozambique": "莫桑比克",
"Mauritania": "毛里塔尼亚",
"Mauritius": "毛里求斯",
"Malawi": "马拉维",
"Malaysia": "马来西亚",
"Namibia": "纳米比亚",
"New Caledonia": "新喀里多尼亚",
"Niger": "尼日尔",
"Nigeria": "尼日利亚",
"Nicaragua": "尼加拉瓜",
"Netherlands": "荷兰",
"Norway": "挪威",
"Nepal": "尼泊尔",
"New Zealand": "新西兰",
"Oman": "阿曼",
"Pakistan": "巴基斯坦",
"Panama": "巴拿马",
"Peru": "秘鲁",
"Philippines": "菲律宾",
"Papua New Guinea": "巴布亚新几内亚",
"Poland": "波兰",
"Puerto Rico": "波多黎各",
"Dem. Rep. Korea": "朝鲜",
"Portugal": "葡萄牙",
"Paraguay": "巴拉圭",
"Palestine": "巴勒斯坦",
"Qatar": "卡塔尔",
"Romania": "罗马尼亚",
"Russia": "俄罗斯",
"Rwanda": "卢旺达",
"Saudi Arabia": "沙特阿拉伯",
"Sudan": "苏丹",
"S. Sudan": "南苏丹",
"Senegal": "塞内加尔",
"Singapore": "新加坡",
"Solomon Is.": "所罗门群岛",
"Sierra Leone": "塞拉利昂",
"El Salvador": "萨尔瓦多",
"Suriname": "苏里南",
"Slovakia": "斯洛伐克",
"Slovenia": "斯洛文尼亚",
"Sweden": "瑞典",
"Swaziland": "斯威士兰",
"Seychelles": "塞舌尔",
"Syria": "叙利亚",
"Chad": "乍得",
"Togo": "多哥",
"Thailand": "泰国",
"Tajikistan": "塔吉克斯坦",
"Turkmenistan": "土库曼斯坦",
"Timor-Leste": "东帝汶",
"Tonga": "汤加",
"Trinidad and Tobago": "特立尼达和多巴哥",
"Tunisia": "突尼斯",
"Turkey": "土耳其",
"Tanzania": "坦桑尼亚",
"Uganda": "乌干达",
"Ukraine": "乌克兰",
"Uruguay": "乌拉圭",
"United States": "美国",
"Uzbekistan": "乌兹别克斯坦",
"Venezuela": "委内瑞拉",
"Vietnam": "越南",
"Vanuatu": "瓦努阿图",
"Yemen": "也门",
"South Africa": "南非",
"Zambia": "赞比亚",
"Zimbabwe": "津巴布韦",
"Aland": "奥兰群岛",
"American Samoa": "美属萨摩亚",
"Fr. S. Antarctic Lands": "南极洲",
"Antigua and Barb.": "安提瓜和巴布达",
"Comoros": "科摩罗",
"Curaçao": "库拉索岛",
"Cayman Is.": "开曼群岛",
"Dominica": "多米尼加",
"Falkland Is.": "马尔维纳斯群岛（福克兰）",
"Faeroe Is.": "法罗群岛",
"Micronesia": "密克罗尼西亚",
"Heard I. and McDonald Is.": "赫德岛和麦克唐纳群岛",
"Isle of Man": "曼岛",
"Jersey": "泽西岛",
"Kiribati": "基里巴斯",
"Saint Lucia": "圣卢西亚",
"N. Mariana Is.": "北马里亚纳群岛",
"Montserrat": "蒙特塞拉特",
"Niue": "纽埃",
"Palau": "帕劳",
"Fr. Polynesia": "法属波利尼西亚",
"S. Geo. and S. Sandw. Is.": "南乔治亚岛和南桑威奇群岛",
"Saint Helena": "圣赫勒拿",
"St. Pierre and Miquelon": "圣皮埃尔和密克隆群岛",
"São Tomé and Principe": "圣多美和普林西比",
"Turks and Caicos Is.": "特克斯和凯科斯群岛",
"St. Vin. and Gren.": "圣文森特和格林纳丁斯",
"U.S. Virgin Is.": "美属维尔京群岛",
"Samoa": "萨摩亚"
}

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c = (
Map(init_opts=opts.InitOpts(width="1400px", height="700px"))
.add("国家", [list(z) for z in zip(Faker.country, Faker.values())], "world")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="世界地图"),
visualmap_opts=opts.VisualMapOpts(max_=200),
)
.render("世界地图.html")
)

China map with cities (detailed)

If you want to know the map of China, but also want to know the outline of the motherland, you can use this template Yo!

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c = (
Map(init_opts=opts.InitOpts(width="1400px", height="700px"))
.add(
"城市",
[list(z) for z in zip(Faker.guangdong_city, Faker.values())],
"china-cities",
label_opts=opts.LabelOpts(is_show=False),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="中国地图（带城市）"),
visualmap_opts=opts.VisualMapOpts(),
)
.render("中国地图带城市.html")
)

China Continuous Data Map

The previous template is segmented, this is a continuous data map, it depends on what scenario you are doing data visualization in , whatever you need is available here!

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c = (
Map(init_opts=opts.InitOpts(width="1400px", height="700px"))
.add("城市", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
.set_global_opts(
title_opts=opts.TitleOpts(title="（标题）"),
visualmap_opts=opts.VisualMapOpts(max_=200),
)
.render("连续数据地图.html")
)

Complex map viewing

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