python使用pyecharts库画地图数据可视化的实现

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

data = [(\'湖北\', 9074),(\'浙江\', 661),(\'广东\', 632),(\'河南\', 493),(\'湖南\', 463),
    (\'安徽\', 340),(\'江西\', 333),(\'重庆\', 275),(\'江苏\', 236),(\'四川\', 231),
    (\'山东\', 230),(\'北京\', 191),(\'上海\', 182),(\'福建\', 159),(\'陕西\', 116),
    (\'广西\', 111),(\'云南\', 105),(\'河北\', 104),(\'黑龙江\', 95),(\'辽宁\', 69),
    (\'海南\', 64),(\'新疆\', 21),(\'内蒙古\', 21),(\'宁夏\', 28),(\'青海\', 11),(\'甘肃\', 40),(\'西藏\', 1),
    (\'贵州\', 38),(\'山西\', 56),(\'吉林\', 23),(\'台湾\', 10),(\'天津\', 48),(\'香港\', 14),(\'澳门\', 8)]
def map_china() -> Map:
  c = (
    Map()
    .add(series_name=\"确诊病例\", data_pair=data, maptype=\"china\",zoom = 1,center=[105,38])
    .set_global_opts(
      title_opts=opts.TitleOpts(title=\"疫情地图\"),
      visualmap_opts=opts.VisualMapOpts(max_=9999,is_piecewise=True,
              pieces=[{\"max\": 9, \"min\": 0, \"label\": \"0-9\",\"color\":\"#FFE4E1\"},
                  {\"max\": 99, \"min\": 10, \"label\": \"10-99\",\"color\":\"#FF7F50\"},
                  {\"max\": 499, \"min\": 100, \"label\": \"100-499\",\"color\":\"#F08080\"},
                  {\"max\": 999, \"min\": 500, \"label\": \"500-999\",\"color\":\"#CD5C5C\"},
                  {\"max\": 9999, \"min\": 1000, \"label\": \">=1000\", \"color\":\"#8B0000\"}]
                       )
    )
  )
  return c

d_map = map_china()
d_map.render_notebook()

data = [[\'China\', 14489],[\'Japan\', 20],[\'Thailand\', 19],[\'Singapore\', 18],[\'Korea\', 15],
    [\'Australia\', 12],[\'Germany\', 10],[\'Malaysia\', 8],[\'United States\', 8],[\'Vietnam\', 7],[\'France\', 6],
    [\'United Arab Emirates\', 5],[\'Canada\', 4],[\'Italy\', 2],[\'India\', 2],
    [\'United Kingdom\', 2],[\'Philippines\', 2],[\'Russia\', 2],[\'Sri Lanka\', 1],[\'Cambodia\', 1],
    [\'Nepal\', 1],[\'Sweden\', 1],[\'Finland\', 1],[\'Spain\', 1]]
def map_world() -> Map:
  c = (
    Map()
    .add(\"确诊病例\", data, maptype=\"world\",zoom = 1)
    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
    .set_global_opts(
      title_opts=opts.TitleOpts(title=\"疫情地图\"),
      visualmap_opts=opts.VisualMapOpts(max_=100,is_piecewise=False),
    )
  )
  return c
 
d_map = map_world()
d_map.render_notebook()

data = [[\'昆明市\', 31],[\'玉溪市\', 11],[\'楚雄彝族自治州\', 2],[\'西双版纳傣族自治州\', 12],[\'普洱市\', 4],
    [\'昭通市\', 8],[\'曲靖市\', 5],[\'迪庆藏族自治州\', 0],[\'丽江市\', 7],[\'临沧市\', 1],[\'保山市\', 8],
    [\'怒江傈僳族自治州\', 0],[\'大理白族自治州\', 7],[\'德宏傣族景颇族自治州\', 4],[\'红河哈尼族彝族自治州\', 5],
    [\'文山壮族苗族自治州\', 0]]
def map_yunnan() -> Map:
  c = (
    Map()
    .add(\"确诊病例\", data, \"云南\",zoom = 1)
    .set_global_opts(
      title_opts=opts.TitleOpts(title=\"云南疫情地图\"),
      visualmap_opts=opts.VisualMapOpts(max_=31,is_piecewise=True,
              pieces=[{\"max\": 0, \"min\": 0, \"label\": \"0\",\"color\":\"#FFFFFF\"},
                  {\"max\": 9, \"min\": 1, \"label\": \"0-9\",\"color\":\"#FFE4E1\"},
                  {\"max\": 99, \"min\": 10, \"label\": \"10-99\",\"color\":\"#FF7F50\"},
                  {\"max\": 499, \"min\": 100, \"label\": \"100-499\",\"color\":\"#F08080\"},
                  {\"max\": 999, \"min\": 500, \"label\": \"500-999\",\"color\":\"#CD5C5C\"},
                  {\"max\": 9999, \"min\": 1000, \"label\": \">=1000\", \"color\":\"#8B0000\"}]
                       ),
    )
  )
  return c
 
d_map = map_yunnan()
d_map.render_notebook()

data = [[\'楚雄市\', 31],[\'玉溪市\', 11],[\'楚雄彝族自治州\', 2],[\'西双版纳傣族自治州\', 12],[\'普洱市\', 4],
    [\'昭通市\', 8],[\'曲靖市\', 5],[\'迪庆藏族自治州\', 0],[\'丽江市\', 7],[\'临沧市\', 1],[\'保山市\', 8],
    [\'怒江傈僳族自治州\', 0],[\'大理白族自治州\', 7],[\'德宏傣族景颇族自治州\', 4],[\'红河哈尼族彝族自治州\', 5],
    [\'文山壮族苗族自治州\', 0]]
def map_yunnan() -> Map:
  c = (
    Map()
    .add(\"确诊病例\", data_pair=data, maptype=\"楚雄彝族自治州\",zoom = 1)
    .set_global_opts(
      title_opts=opts.TitleOpts(title=\"楚雄地图\"),
      visualmap_opts=opts.VisualMapOpts(max_=31,is_piecewise=False),
    )
  )
  return c
 
d_map = map_yunnan()
d_map.render_notebook()