Python绘制地理图表之可视化神器pyecharts（二）

地图

地图模板系列

中国地图

省份数据地图（重庆地图）

中国城市地图数据地图（分段型）

世界地图

中国地图带城市（详细）

中国连续数据地图

复杂地图观赏

每文一语

地图

前期文章我们介绍了有关热力图的绘制，这期文章我们一起来看看地图是如何绘制的，如何在地图里面添加数据进行多维度的展示，下面我们一起来感受一下地图的魅力吧！

“地图就是依据一定的数学法则,使用制图语言,通过制图综合,在一定的载体上,表达地球（或其他天体）上各种事物的空间分布、联系及时间中的发展变化状态的图形. 地图的特征包括：由于特殊的数学法则而产生的可量测性；由于使用符号表象事物而产生的直观性；由于制图综合而产生的一览性. 地图的三要素是：比例尺、方向、图例地图学是研究地图的理论、编制技术与应用方法的科学,是一门研究以地图图形反映与揭示各种自然和社会现象空间分布、相互联系及动态变化的科学、技术与艺术相结合的科学.”

读万卷书不如行万里路，让我们一起看看祖国的大好山河吧！

地图模板系列

中国地图

展示中国的所有省份，一个完全的中国简单的地理图形，方便你理解城市的分布位置哟！

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Fakerc = (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())])

省份数据地图（重庆地图）

重庆地图的展示，添加了区县的数据即可，快来看看重庆有哪些好玩的地方吧，听说主城区的洪崖洞还不错，夜景那是非常好看的，来吧我们一起来看看吧！

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")
)

中国城市地图数据地图（分段型）

展示中国省份，提供数据即可，展示分段型的数据按钮，鼠标也可以控制哟，快来看看吧！

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Fakerc = (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")
)

世界地图

需要注意的是我们要知道每个国家英文名字，注意和pyecharts的map（）语言一样，不然就不行了。

这里提供官方对照表哟，这也太强了吧！

{"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 Fakerc = (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")
)

中国地图带城市（详细）

如果你想要知道中国地图，但是也要知道祖国的板块轮廓，可以用这个模板哟！

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Fakerc = (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")
)

中国连续数据地图

之前的那个模板是分段的，这个是连续的数据地图，看你在什么场景进行数据可视化，有需要的这里都有哟！

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Fakerc = (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")
)

复杂地图观赏

本期的地图展示和数据地图就介绍到这里了，下期文章我们一起探索百度地图与3D地图，欢迎你哟.......

每文一语

认真对待每一个日子、做好每一件小事、学会关心和理解身边的每一个人、用心欣赏路边的每一道风景。