1.geo-地图

from pyecharts import options as opts
from pyecharts.charts import Geo
from pyecharts.globals import GeoType
import osg0 = Geo()
g0.add_schema(maptype="杭州")  # 选定地图的范围
g0.add_coordinate("萧山城厢街道", 120.01, 30.29)  # 自定义坐标点，经纬度
g0.add_coordinate("杭师大", 120.27, 30.16)
data_pair = [("萧山城厢街道", 500), ("杭师大", 200)]  # 后者为对应数值
name_map_data = {"萧山城厢街道":"xiaoshan","杭师大":"hangshi"}
# type_=GeoType.EFFECT_SCATTER  波纹效果
g0.add("", data_pair=data_pair, type_=GeoType.EFFECT_SCATTER, symbol_size=20)  # symbol_size=20数据点的大小
g0.set_series_opts(label_opts=opts.LabelOpts(is_show=True, formatter='{b}'))  # 标注
#  visualmap_opts根据数值不同选则颜色
#  max_最大的值
#  自定义比例尺
pieces = [{'max': 301, "label": "300以下", "color": "black"},{"min": 301, "max": 600, "label": "300-600", "color": "#D2FF00"}]
g0.set_global_opts(visualmap_opts=opts.VisualMapOpts(pieces=pieces, is_show=True, max_=1000, is_piecewise=True),title_opts=opts.TitleOpts(title="杭州市"))
g0.render("china.html")
os.system("china.html")

结果

2.map-地图

这个例子主要为了展示map的标签名可以自定义。然后我发现世界地图标签会自己贴上所有的国家，感觉挺乱的，那么其实把没用到的国家标签都改为空，就应该可以达到效果了吧。

import sslimport pyecharts.options as opts
from pyecharts.charts import Map
from pyecharts.datasets import register_url"""
Gallery 使用 pyecharts 1.1.0 和 echarts-china-cities-js
参考地址: https://echarts.apache.org/examples/editor.html?c=map-HK
"""
ssl._create_default_https_context = ssl._create_unverified_context
# 与 pyecharts 注册，当画香港地图的时候，用 echarts-china-cities-js
register_url("https://echarts-maps.github.io/echarts-china-cities-js")WIKI_LINK = ("http://zh.wikipedia.org/wiki/""%E9%A6%99%E6%B8%AF%E8%A1%8C%E6%94%BF%E5%8D%80%E5%8A%83#cite_note-12"
)
MAP_DATA = [["中西区", 20057.34],["湾仔", 15477.48],["东区", 31686.1],["南区", 6992.6],["油尖旺", 44045.49],["深水埗", 40689.64],["九龙城", 37659.78],["黄大仙", 45180.97],["观塘", 55204.26],["葵青", 21900.9],["荃湾", 4918.26],["屯门", 5881.84],["元朗", 4178.01],["北区", 2227.92],["大埔", 2180.98],["沙田", 9172.94],["西贡", 3368],["离岛", 806.98],
]NAME_MAP_DATA = {# "key": "value"# "name on the hong kong map": "name in the MAP DATA","中西区": "中西区","东区": "东区","离岛区": "离岛","九龙城区": "九龙城","葵青区": "葵青","观塘区": "观塘","北区": "北区","西贡区": "西贡","沙田区": "沙田","深水埗区": "深水埗","南区": "南区","大埔区": "大埔","荃湾区": "荃湾","屯门区": "屯门","湾仔区": "湾仔","黄大仙区": "黄大仙","油尖旺区": "油尖旺","元朗区": "元朗",
}(Map(init_opts=opts.InitOpts(width="1400px", height="800px")).add(series_name="香港18区人口密度",maptype="香港",data_pair=MAP_DATA,name_map=NAME_MAP_DATA,is_map_symbol_show=False,).set_global_opts(title_opts=opts.TitleOpts(title="香港18区人口密度 （2011）",subtitle="人口密度数据来自Wikipedia",subtitle_link=WIKI_LINK,),tooltip_opts=opts.TooltipOpts(trigger="item", formatter="{b}<br/>{c} (p / km2)"),visualmap_opts=opts.VisualMapOpts(min_=800,max_=50000,range_text=["High", "Low"],is_calculable=True,range_color=["lightskyblue", "yellow", "orangered"],),).render("population_density_of_HongKong_v2.html")
)

结果

世界地图

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Fakerzz = [list(z) for z in zip(Faker.country, Faker.values())]
print(zz)
cc = {}
for z in zz:cc[z[0]] = "  "
c = (Map().add("商家A", data_pair=[list(z) for z in zip(Faker.country, Faker.values())], name_map=cc, maptype="world", )  # is_map_symbol_show=False,.set_series_opts(label_opts=opts.LabelOpts(is_show=True, formatter="{b}")).set_global_opts(title_opts=opts.TitleOpts(title="Map-世界地图"),visualmap_opts=opts.VisualMapOpts(max_=200),).render("map_world.html")
)
import os
os.system("map_world.html")

结果

这几个国家的名字确实没有在图中显示了。

参考的就是官网
https://gallery.pyecharts.org/#/Map/population_density_of_HongKong_v2
https://pyecharts.org/#/zh-cn/intro