42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
import json
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# 打开文件
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from pyecharts.charts import Map
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from pyecharts.options import *
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f = open("D:/program/疫情.txt", 'r', encoding="UTF-8")
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data = f.read()
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f.close()
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# json转python
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data_dict = json.loads(data)
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# 获取辽宁省数据
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liaoning_data_list = data_dict["areaTree"][0]["children"][17]["children"]
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# 组装城市名与确诊人数为元组，并各城市数据添加到列表中
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data_list = []
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for liaoning_data in liaoning_data_list:
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city_name = liaoning_data["name"] + "市"
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city_data = liaoning_data['total']['confirm']
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data_list.append((city_name, city_data))
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# print(data_list)
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# 创建图表
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liaoning_map = Map()
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# 图表导入数据
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liaoning_map.add("城市疫情人数", data_list, '辽宁')
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# 设置全局变量
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liaoning_map.set_global_opts(
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title_opts=TitleOpts("辽宁疫情地图"),
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visualmap_opts=VisualMapOpts(
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is_show=True, # 是否显示
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is_piecewise=True, # 是否分段
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pieces=[
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{"min": 1, "max": 9, "liable": "1-9", "color": "#CCFFFF"},
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{"min": 10, "max": 49, "liable": "100-999", "color": "#FF6A6A"},
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{"min": 50, "max": 499, "liable": "1000-4999", "color": "#EE6363"},
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{"min": 99, "liable": "5000-49999", "color": "#CD5555"},
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]
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)
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)
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liaoning_map.render("辽宁省疫情地图.html")
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