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
from?pyecharts?import?options?as?opts
from?pyecharts.charts?import?Map3D
from?pyecharts.globals?import?ChartType
#?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。
from?pyecharts?import?options?as?opts
from?pyecharts.charts?import?Map3D
from?pyecharts.globals?import?ChartType
from?pyecharts测试数据mons.utils?import?JsCode
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){return?data.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="Scatter3D",
????????data_pair=example_data,
????????type_=ChartType.SCATTER3D,
????????bar_size=1,
????????shading="lambert",
????????label_opts=opts.LabelOpts(
????????????is_show=False,
????????????formatter=JsCode("function(data){return?data.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！
from?pyecharts?import?options?as?opts
from?pyecharts.charts?import?Map3D
from?pyecharts.globals?import?ChartType
from?pyecharts测试数据mons.utils?import?JsCode
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,
????????????formatter=JsCode("function(data){return?data.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="lambert",
????????label_opts=opts.LabelOpts(
????????????is_show=False,
????????????formatter=JsCode("function(data){return?data.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
from?pyecharts?import?options?as?opts
from?pyecharts.charts?import?Map3D
from?pyecharts.globals?import?ChartType
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(
????????????main_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
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="1400px",?height="700px"))
????.add_schema()
????.add(
????????maptype="world",
????????series_name="World?Population",
????????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！
以上就是利用Python绘制酷炫的3D地图的详细内容，更多关于Python 3D地图的资料请关注其它相关文章！
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