python 世界地图可视化,python画地图数据可视化分析
本文主要介绍Python绘制地理图表的可视化神器pyecharts。文章围绕主题,详细介绍了其内容,具有一定的参考价值。有需要的可以参考一下。
00-1010地图模板系列中国地图各省资料地图(重庆地图)中国城市地图资料地图(分段)世界地图中国带城市地图(详细)中国连续资料地图复杂地图查看
目录
本期我们就来看看地图是如何绘制的,如何给地图添加数据进行多维展示。让我们一起感受地图的魅力吧!
“地图是按照一定的数学规律,运用制图语言和制图综合,表达地球(或其他天体)上各种事物在时间上的空间分布、关系和发展变化状态的图形。地图的特征包括:由于特殊的数学规律而具有可测性;直觉由于使用符号来表示事物;制图综合的概述。地图的三个要素是:比例、方向和图例。地图学是研究地图的理论、编制技术和应用方法的科学。它是用地图图形研究和揭示各种自然和社会现象的空间分布、相互关系和动态变化的科学、技术和艺术相结合的科学。”
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
地图模板系列
展示中国所有省份,完整简单的中国地理图,让你了解城市分布!
从pyecharts将选项作为选项导入
从pyecharts.charts导入地图
从pyecharts.faker导入faker
c=(
地图()。add (city ,[list(z)for z in zip(faker . provinces,faker.values ())], China )。set _ global _ opts(title _ opts=opts . title topts(title=中国地图))。render (China map.html )
)
print([list(z)for z in zip(faker . provinces,Faker.values())])
中国地图
添加区县数据可以显示重庆地图。来看看重庆的一些好玩的地方吧。听说主城的洪崖洞还不错,夜景很美。一起来看看吧!
从pyecharts将选项作为选项导入
从pyecharts.charts导入地图
从pyecharts.faker导入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(宽度= 1400像素,高度= 700像素))。add (city ,[list(z) for z in zip(x,y)],重庆)。集合_全局_opts(
title _ opts=opts . title pts(title=重庆地图),visual Map _ opts=opts . visual mapopts(max _=560)
)。render(重庆地图. html )
)
省份数据地图(重庆地图)
显示中国的省份,只需提供数据,显示分段数据按钮,鼠标也可以控制。来看看吧!
从pyecharts将选项作为选项导入
从pyecharts.charts导入地图
从pyecharts.faker导入faker
c=(
Map(init_opts=opts。InitOpts(宽度=1400px ,高度=
"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 dIvoire": "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 optsfrom 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 optsfrom 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 optsfrom 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
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