Python-地图可视化

地图可视化

1.基础地图使用
- 1.1基础地图演示
- 1.2视觉映射器
2.全国疫情地图
- 2.1数据整理
- 2.2创建地图并添加数据
- 2.3设置全局配置
3.省级疫情图

1.基础地图使用

1.1基础地图演示

# 导入模块
from pyecharts.charts import Map
# 绘图
map = Map()
# 构建数据
data = [("北京市",99),("上海市",199),("湖南省",299),("台湾省",199),("安徽省",299),("广州省",399),("湖北省",599)
]
map.add("地图",data,"china")
map.render("基础地图.html")

在这里插入图片描述

1.2视觉映射器

# 导入模块
from pyecharts.charts import Map
from pyecharts.options import VisualMapOpts
# 绘图
map = Map()
# 构建数据
data = [("北京市",99),("上海市",199),("湖南省",299),("台湾省",199),("安徽省",299),("广州省",399),("湖北省",599)
]
map.add("地图",data,"china")
# 设置全局选项
map.set_global_opts(visualmap_opts=VisualMapOpts(is_show=True,is_piecewise=True,  # 允许手动校准范围pieces=[{"min":1,"max":9,"label":"1-9","color":"#CCFFFF"},{"min":10,"max":99,"label":"10-99","color":"#FF6666"},{"min":100,"max":500,"label":"100-500","color":"#990033"}])
)
# 绘图
map.render("基础地图.html")

在这里插入图片描述

2.全国疫情地图

2.1数据整理

# 导入json模块
import json
# 读取文件
f = open("D:/疫情.txt","r",encoding="UTF-8")
data = f.read() # 获取全部数据
# 关闭文件
f.close()
# 将字符串json转换成python的字典
data_dict = json.loads(data)   # 基础数据字典

在这里插入图片描述

# 取到各省数据
# 将字符串json转换成python的字典
data_dict = json.loads(data)   # 基础数据字典
# 从字典中取出省份的数据
province_data_list = data_dict["areaTree"][0]["children"]
# 组装每个省份和确诊人数为元组，将各个省的数据都封装如列表中
data_list = []  # 绘图需要的数据列表
for province_data in province_data_list:province_name = province_data["name"]  # 各省份名称province_confirm = province_data["total"]["confirm"]  # 各省份确诊人数data_list.append((province_name,province_confirm))

2.2创建地图并添加数据

# 绘制地图对象
map = Map()
# 添加数据
map.add("各省份确诊人数",data_list,"china")

2.3设置全局配置

# 设置全局配置，定制分段的视觉映射
map.set_global_opts(title_opts=TitleOpts(title="全国疫情图"),visualmap_opts=VisualMapOpts(is_show=True,      # 是否显示is_piecewise=True, # 是否分段pieces=[{"min":1,"max":9,"label":"1-9","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"},])
)
# 绘图
map.render("全国疫情地图.html")

在这里插入图片描述

3.省级疫情图

import json
from pyecharts.charts import Map
from pyecharts.options import *
f = open("D:/疫情.txt","r",encoding="UTF-8")
data = f.read()
data = json.loads(data)
Tianjin_data_list = data["areaTree"][0]["children"][13]["children"]
data_list = []
for Tianjin_data in Tianjin_data_list:name = Tianjin_data["name"]confirm = Tianjin_data["total"]["confirm"]data_list.append((name,confirm))
print(data_list)
map = Map()
map.add("天津市疫情地图",data_list,"天津")
map.set_global_opts(title_opts=TitleOpts(title="天津市疫情地图"),visualmap_opts=VisualMapOpts(is_show=True,is_piecewise=True,pieces=[{"min":1,"max":9,"label":"1-9","color":"#CCFFFF"},{"min":10,"max":99,"label":"100-999","color":"#FFFF99"},{"min":100,"max":500,"label":"1000-4999","color":"#FF9966"},{"min":501,"max":999,"label":"5000-9999","color":"#FF6666"},{"min":10000,"label":"10000-99999","color":"#CC3333"}])
)
map.render("省级疫情地图.html")