python基础综合案例 数据建模-地图建模

00000+", "color": "#990033"}, ] ))# 绘图map.render("全国登革热视图.html")

接入：

"""演示东莞登革热视图开发"""import jsonfrom pyecharts.charts import Mapfrom pyecharts.options import *# 读得用档案f = open("D:/rfpython/登革热.txt", "r", encoding="UTF-8")data = f.read()# 停止使用档案f.close()# 获得用东莞信息# json信息叠加为python注释data_dict = json.loads(data)# 得用到东莞信息cities_data = data_dict["areaTree"][0]["children"][7]["children"]# 准备信息为个数并放入listdata_list = []for city_data in cities_data: city_name = city_data["name"] + "市" city_confirm = city_data["total"]["confirm"] data_list.append((city_name, city_confirm))# 重构视图map = Map()map.add("东莞登革热分布区", data_list, "广东")# 设置1]选项map.set_global_opts( title_opts=TitleOpts(title="东莞登革热视图"), visualmap_opts=VisualMapOpts( is_show=True, # 是否显示 is_piecewise=True, # 是否并行 pieces=[ {"min": 1, "max": 99, "lable": "1~99人", "color": "#CCFFFF"}, {"min": 100, "max": 999, "lable": "100~9999人", "color": "#FFFF99"}, {"min": 1000, "max": 4999, "lable": "1000~4999人", "color": "#FF9966"}, {"min": 5000, "max": 9999, "lable": "5000~99999人", "color": "#FF6666"}, {"min": 10000, "max": 99999, "lable": "10000~99999人", "color": "#CC3333"}, {"min": 100000, "lable": "100000+", "color": "#990033"}, ] ))# 绘图map.render("东莞登革热视图.html")

接入：

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