用 Python 制作地球仪的方法

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

c = (
 Map(init_opts=opts.InitOpts(width='1500px', height='1200px',bg_color='#E0EEEE'))
 # 加载世界地图实例
 .add("世界地图", [list(z) for z in zip(Faker.country, Faker.values())], "world")
 # 不显示地图标志
 .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
 .set_global_opts(
 # 配置项标题设置
 title_opts=opts.TitleOpts(title="世界地图示例"),
 visualmap_opts=opts.VisualMapOpts(max_=200)
 )
 # 生成超文本文件
 .render("world_map.html")
)

from pyecharts import options as opts
from pyecharts.charts import Map3D
from pyecharts.globals import ChartType

c = (
 Map3D(init_opts=opts.InitOpts(width='1300px', height='1300px',bg_color='#EBEBEB'))

 .add_schema(
 itemstyle_opts=opts.ItemStyleOpts(
 color="#CDBA96",
 opacity=1,
 border_width=0.8,
 border_color="rgb(62,215,213)",
 ),
 map3d_label=opts.Map3DLabelOpts(
 is_show=True,
 text_style=opts.TextStyleOpts(
 color="#104E8B", font_size=16, background_color="rgba(0,0,0,0)"
 ),
 ),
 emphasis_label_opts=opts.LabelOpts(is_show=True),
 light_opts=opts.Map3DLightOpts(
 main_color="#FFEBCD",
 main_intensity=1.2,
 is_main_shadow=False,
 main_alpha=55,
 main_beta=10,
 ambient_intensity=0.3,
 ),
 )
 .add(series_name="", data_pair="", maptype=ChartType.MAP3D)
 # 全局设置地图属性
 .set_global_opts(
 title_opts=opts.TitleOpts(title="全国行政区划地图"),
 visualmap_opts=opts.VisualMapOpts(is_show=False),
 tooltip_opts=opts.TooltipOpts(is_show=True),
 )
 .render("map3d_china_base.html")
)

# 写入省份内各地区经纬度
example_data = [
 [[106.70722,26.59820, 1000],[106.63024, 26.64702, 1000]],
 [[104.83023, 26.59336], [106.92723, 27.72545]],
 [[105.30504, 27.29847], [107.52034, 26.29322]],
 [[107.89868, 26.52881], [104.948571, 25.077502]],
 [[105.9462, 26.25367], [109.18099, 27.69066]],
]
#　添加 3D 地图
c = (
 Map3D(init_opts=opts.InitOpts(width='1200px', height='1200px'))
 .add_schema(
 maptype="贵州",
 itemstyle_opts=opts.ItemStyleOpts(
 color="rgb(5,101,123)",
 opacity=1,
 border_width=0.8,
 border_color="rgb(62,215,213)",
 ),
 light_opts=opts.Map3DLightOpts(
 main_color="#fff",
 main_intensity=1.2,
 is_main_shadow=True,
 main_alpha=55,
 main_beta=10,
 ambient_intensity=0.3,
 ),
 view_control_opts=opts.Map3DViewControlOpts(center=[-10, 0, 10]),
 post_effect_opts=opts.Map3DPostEffectOpts(is_enable=True),

 )
 .add(
 series_name="",
 data_pair=example_data,
 type_=ChartType.LINES3D,
 effect=opts.Lines3DEffectOpts(
 is_show=True,
 period=4,
 trail_width=3,
 trail_length=0.5,
 trail_color="#f00",
 trail_opacity=1,
 ),
 label_opts=opts.LabelOpts(is_show=True),
 )
 .set_global_opts(title_opts=opts.TitleOpts(title="Map3D-GuiZhou3D"))
 .render("guizhou_map_3d.html")
)

import pyecharts.options as opts
from pyecharts.charts import MapGlobe
from pyecharts.faker import POPULATION


data = [x for _, x in POPULATION[1:]]
low, high = min(data), max(data)
c = (
 MapGlobe(init_opts=opts.InitOpts(width='1000px', height='1000px',bg_color='#FFFAFA',))
 .add_schema()
 .add(
 maptype="world",
 series_name="World Population",
 data_pair=POPULATION[1:],
 is_map_symbol_show=True,
 label_opts=opts.LabelOpts(is_show=True),
 )
 .set_global_opts(
 title_opts=opts.TitleOpts(title="3D 地球示例"),
 # 设置地球属性
 visualmap_opts=opts.VisualMapOpts(
 min_=low,
 max_=high,
 range_text=["max", "min"],
 is_calculable=True,
 range_color=["lightskyblue", "yellow", "orangered"],
 )
 )
 .render("world_map_3d.html")
)