42 lines
1.4 KiB
Python
42 lines
1.4 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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# 从字典中取得省份名称
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province_data_list = data_dict["areaTree"][0]['children']
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# 组装省份名与确诊人数为元组，并将各个省份的数据填入列表内
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data_list = [] # 用于存放绘图需要的内容
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for province_data in province_data_list:
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province_name = province_data["name"]
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province_confirm = province_data["total"]["confirm"]
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data_list.append((province_name, province_confirm))
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# print(data_list)
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# 生成地图
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map = Map()
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# 向地图中添加数据
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map.add("省份确诊人数", data_list, 'china')
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# 设置全局变量
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map.set_global_opts(
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title_opts=TitleOpts(title="全国疫情地图"),
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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": 99, "lable": "1-99", "color": "#CCFFFF"},
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{"min": 100, "max": 999, "lable": "100-999", "color": "#FF6A6A"},
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{"min": 1000, "max": 4999, "lable": "1000-4999", "color": "#EE6363"},
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{"min": 5000, "max": 49999, "lable": "5000-49999", "color": "#CD5555"},
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{"min": 50000, "lable": "50000+", "color": "#8B3A3A"}
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]
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)
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)
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# 生成图表
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map.render("全国疫情地图.html") |