利用Python绘制酷炫的3D地图

目录

• 1.重庆市3D地图
• 2.中国3D地图一
• 3.中国3D地图二
• 4.中国3D地图三
• 5.地球展示

之前我们介绍了很多python地图可视化的内容，本次主要介绍如何Python绘制3D地图，还是比较神奇的，下面让我们一起一饱眼福吧！

1.重庆市3D地图

frompyechartsimportoptionsasopts
frompyecharts.chartsimportMap3D
frompyecharts.globalsimportChartType
#经纬度
example_data=[
[[119.107078,36.70925,1000],[116.587245,35.415393,1000]],
[[117.000923,36.675807],[120.355173,36.082982]],
[[118.047648,36.814939],[118.66471,37.434564]],
[[121.391382,37.539297],[119.107078,36.70925]],
[[116.587245,35.415393],[122.116394,37.509691]],
[[119.461208,35.428588],[118.326443,35.065282]],
[[116.307428,37.453968],[115.469381,35.246531]],
]
c=(
Map3D(init_opts=opts.InitOpts(width="1400px",height="700px"))
.add_schema(
maptype="重庆",
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=False,
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=False),
)
.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,
),
linestyle_opts=opts.LineStyleOpts(is_show=False,color="#fff",opacity=0),
)
.set_global_opts(title_opts=opts.TitleOpts(title="Map3D"))
.render("区县3D地图.html")
)

2.中国3D地图一

数组里面分别代表：经纬度，数值。

frompyechartsimportoptionsasopts
frompyecharts.chartsimportMap3D
frompyecharts.globalsimportChartType
frompyecharts.commons.utilsimportjsCode

example_data=[
("黑龙江",[127.9688,45.368,100]),
("内蒙古",[110.3467,41.4899,100]),
("吉林",[125.8154,44.2584,100]),
("辽宁",[123.1238,42.1216,100]),
("河北",[114.4995,38.1006,100]),
("天津",[117.4219,39.4189,100]),
("山西",[112.3352,37.9413,100]),
("陕西",[109.1162,34.2004,100]),
("甘肃",[103.5901,36.3043,100]),
("宁夏",[106.3586,38.1775,100]),
("青海",[101.4038,36.8207,100]),
("新疆",[87.9236,43.5883,100]),
("西藏",[91.11,29.97,100]),
("四川",[103.9526,30.7617,100]),
("重庆",[108.384366,30.439702,100]),
("山东",[117.1582,36.8701,100]),
("河南",[113.4668,34.6234,100]),
("江苏",[118.8062,31.9208,100]),
("安徽",[117.29,32.0581,100]),
("湖北",[114.3896,30.6628,100]),
("浙江",[119.5313,29.8773,100]),
("福建",[119.4543,25.9222,100]),
("江西",[116.0046,28.6633,100]),
("湖南",[113.0823,28.2568,100]),
("贵州",[106.6992,26.7682,100]),
("广西",[108.479,23.1152,100]),
("海南",[110.3893,19.8516,100]),
("上海",[121.4648,31.2891,100]),
]

c=(
Map3D(init_opts=opts.InitOpts(width="1400px",height="700px"))
.add_schema(
itemstyle_opts=opts.ItemStyleOpts(
color="rgb(5,101,123)",
opacity=1,
border_width=0.8,
border_color="rgb(62,215,213)",
),
map3d_label=opts.Map3DLabelOpts(
is_show=False,
formatter=JsCode("function(data){returndata.name+""+data.value[2];}"),
),
emphasis_label_opts=opts.LabelOpts(
is_show=False,
color="#fff",
font_size=10,
background_color="rgba(0,23,11,0)",
),
编程客栈light_opts=opts.Map3DLightOpts(
main_color="#fff",
main_intensity=1.2,
main_shadow_quality="high",
is_main_shadow=False,
main_beta=10,
ambient_intensity=0.3,
),
)
.add(
series_name="Scatter3D",
data_pair=example_data,
type_=ChartType.SCATTER3D,
bar_size=1,
shading="lambert",
label_opts=opts.LabelOpts(
is_show=False,
formatter=JsCode("function(data){returndata.name+''+data.value[2];}"),
),
)
.set_global_opts(title_opts=opts.TitleOpts(title="Map3D"))
.render("中国3D地图.html")
)

3.中国3D地图二

如果说前面的那个你看起来不太舒服，那么这个绝对适合做数据可视化展示哟！

frompyechartsimportoptionsasopts
frompyecharts.chartsimportMap3D
frompyecharts.globalsimportChartType
frompyecharts.commons.utilsimportJsCode

example_data=[
("黑龙江",[127.9688,45.368,100]),
("内蒙古",[110.3467,41.4899,300]),
("吉林",[125.8154,44.2584,300]),
("辽宁",[123.1238,42.1216,300]),
("河北",[114.4995,38.1006,300]),
("天津",[117.4219,39.4189,300]),
("山西",[112.3352,37.9413,300]),
("陕西",[109.1162,34.2004,300]),
("甘肃",[103.5901,36.3043,300]),
("宁夏",[106.3586,38.1775,300]),
("青海",[101.4038,36.8207,300]),
("新疆",[87.9236,43.5883,300]),
("西藏",[91.11,29.97,300]),
("四川",[103.9526,30.7617,300]),
("重庆",[108.384366,30.439702,300]),
("山东",[117.1582,36.8701,300]),
("河南",[113.4668,34.6234,300]),
("江苏",[118.8062,31.9208,300]),
("安徽",[117.29,32.0581,300]),
("湖北",[114.3896,30.6628,300]),
("浙江",[119.5313,29.8773,300]),
("福建",[119.4543,25.9222,300]),
("江西",[116.0046,28.6633,300]),
("湖南",[113.0823,28.2568,300]),
("贵州",[106.6992,26.7682,300]),
("广西",[108.479,23.1152,300]),
("海南",[110.3893,19.8516,300]),
("上海",[121.4648,31.2891,1300]),
]

c=(
Map3D(init_opts=opts.InitOpts(width="1400px",height="700px"))
.add_schema(
itemstyle_opts=opts.ItemStyleOpts(
color="rgb(5,101,123)",
opacity=1,
border_width=0.8,
border_color="rgb(62,215,213)",
),
map3d_label=opts.Map3DLabelOpts(
is_show=False,
formattwww.cppcns.comer=JsCode("function(data){returndata.name+""+data.value[2];}"),
),
emphasis_label_opts=opts.LabelOpts(
is_show=False,
color="#fff",
font_size=10,
background_color="rgba(0,23,11,0)",
),
light_opts=opts.Map3DLightOpts(
main_color="#fff",
main_intensity=1.2,
main_shadow_quality="high",
is_main_shadow=False,
main_beta=10,
ambient_intensity=0.3,
),
)
.add(
series_name="数据",
data_pair=example_data,
type_=ChartType.BAR3D,
bar_size=1,
shading="lambvBquAeert",
label_opts=opts.LabelOpts(
is_show=Fhttp://www.cppcns.comalse,
formatter=JsCode("function(data){returndata.name+''+data.value[2];}"),
),
)
.set_global_opts(title_opts=opts.TitleOpts(title="城市数据"))
.render("带有数据展示地图.html")
)

看完直呼这个模板，适合做城市之间的数据对，同时也展示了经纬度。

4.中国3D地图三

frompyechartsimportoptionsasopts
frompyecharts.chartsimportMap3D
frompyecharts.globalsimportChartType

c=(
Map3D(init_opts=opts.InitOpts(width="1400px",height="700px"))
.add_schema(
itemstyle_opts=opts.ItemStyleOpts(
color="rgb(5,101,123)",
opacity=1,
border_width=0.8,
border_color="rgb(62,215,213)",
),
map3d_label=opts.Map3DLabelOpts(
is_show=True,
text_style=opts.TextStyleOpts(
color="#fff",font_size=16,background_color="rgba(0,0,0,0)"
),
),
emphasis_label_opts=opts.LabelOpts(is_show=True),
light_opts=opts.Map3DLightOpts(
vBquAemain_color="#fff",
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)
.set_global_opts(
title_opts=opts.TitleOpts(title="全国行政区划地图-Base"),
visualmap_opts=opts.VisualMapOpts(is_show=False),
tooltip_opts=opts.TooltipOpts(is_show=True),
)
.render("全国标签地图.html")
)

5.地球展示

importpyecharts.optionsasopts
frompyecharts.chartsimportMapGlobe
frompyecharts.fakerimportPOPULATION

data=[xfor_,xinPOPULATION[1:]]
low,high=min(data),max(data)

c=(
MapGlobe(init_opts=opts.InitOpts(width="1400px",height="700px"))
.add_schema()
.add(
maptype="world",
series_name="WorldPopulation",
data_pair=POPULATION[1:],
is_map_symbol_show=False,
label_opts=opts.LabelOpts(is_show=False),
)
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(
min_=low,
max_=high,
range_text=["max","min"],
is_calculable=True,
range_color=["lightskyblue","yellow","orangered"],
)
)
.render("地球.html")
)

其实pyecharts还可以做百度地图，可以缩放定位到每一个区域，但是其实我们在日常生活中可能用不上，如果要用可以去百度地图展示效果！

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