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pyecharts终于更新啦！
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吃完午饭，闲来无事刷G站，逛到pyecharts那里突然发现： 接下来看看Map3D都能干嘛： 先更新： pip install --upgrade pyecharts完了新建项目导包： from pyecharts.charts import * from pyecharts import options as opts from pyecharts.globals import ChartTypeMap3D-全国行政区划地图 def map3d_china_base() -> Map3D: c = ( Map3D() .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), ) ) return c
Map3D-Bar3D def map3d_with_bar3d() -> Map3D: 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() .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="bar3D", 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="Map3D-Bar3D")) ) return c
Map3D-Lines3D def map3d_with_lines3d() -> Map3D: 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() .add_schema( maptype="山东", 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-Lines3D")) ) return c
Map3D-Scatter3D def map3d_with_scatter3d() -> Map3D: 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() .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-Scatter3D")) ) return c
世界地图 def map3d_world_base() -> Map3D: c = ( Map3D() .add_schema( maptype='world', itemstyle_opts=opts.ItemStyleOpts( color="rgb(121,101,123)", 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="世界地图-Base"), visualmap_opts=opts.VisualMapOpts(is_show=False), tooltip_opts=opts.TooltipOpts(is_show=True), ) ) return c
我用 Map3D 搞了一个：pyecharts-Map3D实现新冠肺炎疫情全国数据立体可视化，有兴趣的可以看看…😉 |
哦豁真的吗?喵喵喵？ 赶紧去pyecharts官网瞧瞧，哦豁真的！http://pyecharts.org/#/zh-cn/3d_charts?id=map3d-三维地图 👈这里确实充实了许多。我记得我之前写pyecharts实现新冠肺炎疫情可视化并搭建BI数据大屏的时候pyecharts的3D地图还处在开发中，只有一个add_shame能显示一个白白的地图，啥也干不了…当时我还去Google了好长时间，最后么的办法只能用平面地图去实现数据可视化了，不过现在终于出来了，辛苦开发者大大们啦！
这几个都是官方的例子，我们也可以照猫画虎：
总之，这玩意还是挺好玩的，大家没事也可以去玩玩~【本文地址】
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