python教程分享Python可视化神器pyecharts绘制地理图表

from pyecharts import options as opts  from pyecharts.charts import geo  from pyecharts.globals import charttype, symboltype  c = (  geo()  .add_schema(  maptype="china",  itemstyle_opts=opts.itemstyleopts(color="#a4a4a4", border_color="#005454"),  )  .add(  "",  [("广州", 20000), ("北京", 15000), ("杭州", 69000), ("重庆", 56000),("西藏",64000),("新疆",64000),("内蒙古",64000)],  type_=charttype.effect_scatter,  color="yellow",  )  .add(  "流动路线",  [("重庆", "上海"), ("重庆", "北京"), ("重庆", "杭州"), ("重庆", "广州"), ("重庆", "西藏"), ("重庆", "新疆"), ("重庆", "内蒙古")],  type_=charttype.lines,  effect_opts=opts.effectopts(  symbol=symboltype.arrow, symbol_size=6, color="green"  ),  linestyle_opts=opts.linestyleopts(curve=0.2),  )  .set_series_opts(label_opts=opts.labelopts(is_show=false))  .set_global_opts(title_opts=opts.titleopts(title="人口流动路线"))  .render("人口流动路线.html")  )

from pyecharts import options as opts  from pyecharts.charts import geo  from pyecharts.faker import faker  c = (  geo()  .add_schema(maptype="china")  .add("城市", [list(z) for z in zip(faker.provinces, faker.values())])  .set_series_opts(label_opts=opts.labelopts(is_show=false))  .set_global_opts(  visualmap_opts=opts.visualmapopts(is_piecewise=true),  title_opts=opts.titleopts(title="标题"),  )  .render("分段热力图.html")  )  print([list(z) for z in zip(faker.provinces, faker.values())])

from pyecharts import options as opts  from pyecharts.charts import geo  from pyecharts.faker import faker  from pyecharts.globals import charttype  x=["巫山","万州","云阳","奉节"]  y=[123,560,456,362]  c = (  geo()  .add_schema(maptype="重庆")  .add(  "含量",  [list(z) for z in zip(x, y)],  type_=charttype.heatmap,  )  .set_series_opts(label_opts=opts.labelopts(is_show=false))  .set_global_opts(  visualmap_opts=opts.visualmapopts(max_=570), title_opts=opts.titleopts(title="重庆微塑料分布热力图")  )  .render("重庆热力图.html")  )

from pyecharts import options as opts  from pyecharts.charts import geo  from pyecharts.faker import faker  from pyecharts.globals import charttype  c = (  geo()  .add_schema(maptype="china")  .add(  "热力",  [list(z) for z in zip(faker.provinces, faker.values())],  type_=charttype.heatmap,  )  .set_series_opts(label_opts=opts.labelopts(is_show=false))  .set_global_opts(  visualmap_opts=opts.visualmapopts(),  title_opts=opts.titleopts(title="标题"),  )  .render("连续热力图.html")  )

from pyecharts import options as opts  from pyecharts.charts import geo  from pyecharts.faker import faker  from pyecharts.globals import charttype  c = (  geo()  .add_schema(maptype="china")  .add(  "热力图",  [list(z) for z in zip(faker.provinces, faker.values())],  type_=charttype.effect_scatter,  )  .set_series_opts(label_opts=opts.labelopts(is_show=false))  .set_global_opts(title_opts=opts.titleopts(title="标题"))  .render("动态热力图.html")  )

from pyecharts import options as opts  from pyecharts.charts import geo  from pyecharts.faker import faker  c = (  geo()  .add_schema(maptype="china")  .add("热力", [list(z) for z in zip(faker.provinces, faker.values())])  .set_series_opts(label_opts=opts.labelopts(is_show=false))  .set_global_opts(  visualmap_opts=opts.visualmapopts(), title_opts=opts.titleopts(title="标题")  )  .render("中国散点热力图.html")  )