Python绘制地理图表之可视化神器pyecharts（二）_faker.provinces

目录

 

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

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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 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())])

 

 

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 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")
)

 

 

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 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")
)

 

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 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")
)

 

 

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 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")
)

 

 

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。