注：本文所用数据均来自百度开源数据
Admin_Log
数据会在下方展示下载按钮，请自行提取。
本文需要用到json、pyecharts模块，请自行在PyCharm中添加
图标演示链接：Epidemic map – Admin_Log加载可能较慢，请耐心等待◊ヾ(•ω•`)o
问题描述：
Admin_Log
该数据各省份数据中均不带“省”和“市”以及“XX自治区”、“XX特别行政区”，本人计划将数据做统一处理，奈何技术不精，未能将数据到处至文本文档，只能暂时将数据保存到该项目中。
希望各位大佬有意请帮忙修改数据，本人在此谢过(✿◡‿◡)
[ 项目文本在下载中可获取 ]
代码块：
import json
from pyecharts.charts import Map
from pyecharts.options import *
# 读取数据文件
f = open("E:/PycharmProjects/可视化案例数据/地图数据/疫情2.txt", "r", encoding="UTF-8")
# fw = open("E:/PycharmProjects/可视化案例数据/地图数据/疫情2.bak.txt", "w", encoding="UTF-8")
data = f.read()
# 关闭文件
f.close()
# 去到各省数据
# 将字符串json转换为python的字典
data_dict = json.loads(data) # 基础数据字典
# print(data_dict)
# 从字典中取出省份的数据
province_data_list = data_dict["areaTree"][0]["children"]
# print(province_data_list)
data_list = []
for province_data in province_data_list:
province_name = province_data["name"]
province_name += "省"
# print(province_name)
if province_name == "北京省":
province_name = "北京市"
elif province_name == "天津省":
province_name = "天津市"
elif province_name == "上海省":
province_name = "上海市"
elif province_name == "重庆省":
province_name = "重庆市"
elif province_name == "内蒙古省":
province_name = "内蒙古自治区"
elif province_name == "广西省":
province_name = "广西壮族自治区"
elif province_name == "西藏省":
province_name = "西藏自治区"
elif province_name == "宁夏省":
province_name = "宁夏回族自治区"
elif province_name == "新疆省":
province_name = "新疆维吾尔自治区"
elif province_name == "香港省":
province_name = "香港特别行政区"
elif province_name == "澳门省":
province_name = "澳门特别行政区"
print(province_name)
province_confirm = province_data["total"]["confirm"]
data_list.append((province_name, province_confirm))
# print(data_list)
# 创建地图对象
map = Map()
# 添加数据
map.add("各省份确诊人数", data_list, "china")
# 设置全局配置，定制分段的视觉映射
map.set_global_opts(
title_opts=TitleOpts(title="全国疫情地图"),
visualmap_opts=VisualMapOpts(
is_show=True, # 是否显示
is_piecewise=True, # 是否分段
pieces=[
{"min": 1, "max": 99, "label": "1-9人", "color": "#CCFFFF"},
{"min": 100, "max": 999, "label": "100-999人", "color": "#FFFF99"},
{"min": 1000, "max": 4999, "label": "1000-4999人", "color": "#FF9966"},
{"min": 5000, "max": 9999, "label": "5000-9999人", "color": "#FF6666"},
{"min": 10000, "max": 99999, "label": "10000-99999人", "color": "#CC3333"},
{"min": 100000, "lable": "10000+", "color": "#990033"}
]
)
)
# 绘图
map.render("全国疫情地图.html")
