pyecharts案例三——河南省疫情地图绘制

news2024/11/17 10:36:18

代码实现

代码的业务流程基本和全国疫情地图相同，注意城市名结尾必须有“市”才能识别

import json
from pyecharts.charts import Map
from pyecharts.options import *

f = open("./疫情.txt", "r", encoding="UTF-8")
data = f.read()

f.close()

# 取到各省份数据
# 将json字符串转为python字典,反序列化
data_dict = json.loads(data)
# 取到河南数据
cities_data = data_dict["areaTree"][0]["children"][3]["children"]

#准备数据为元组(城市名,数量) 放入list
data_list = []
for city_data in cities_data:
    # 城市名结尾必须是市,否则pyecharts识别不出来
    city_name = city_data["name"] + "市"
    city_confirm = city_data["total"]["confirm"]
    data_list.append((city_name, city_confirm))

data_list.append(("济源市", 6))

# 创建地图对象
map = Map()
# 添加数据
# 第三个参数标识中国地图
map.add("河南省疫情分布", data_list, "河南")

# 设置全局配置,定制分段的视觉映射
map.set_global_opts(
    title_opts=TitleOpts(title="河南省疫情地图"),
    visualmap_opts=VisualMapOpts(
        is_show=True,
        is_piecewise=True, # 是否分段
        pieces=[
            {"min":1, "max": 99, "label": "1~99", "color": "#CCFFFF"},
            {"min":100, "max": 999, "label": "100~999", "color": "#FFFF99"},
            {"min":1000, "max": 4999, "label": "1000~4999", "color": "#FF9966"},
            {"min":5000, "max": 9999, "label": "5000~9999", "color": "#FF6666"},
            {"min":10000, "max": 99999, "label": "10000~99999", "color": "#CC3333"},
            {"min":100000, "label": "100000+", "color": "#990033"}
        ]
    )
)

map.render("河南省疫情地图.html")