数据可视化-地图可视化
更新时间: 2024-03-26 15:39:41
# 地图演示
"""
演示地图可视化的基本使用
"""
from pyecharts.charts import Map
# 准备地图对象
map = Map()
# 准备数据
data = [
("北京市",99),
("上海市", 199),
("湖南省", 299),
("台湾省", 399),
("广东省", 499),
]
# 添加数据
map.add("测试地图",data,"china")
# 绘图
map.render()
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# 基础地图演示 - 视觉映射器
map.set_global_opts(
visualmap_opts = VisualMapOpts(
is_show=True,
is_piecewise=True,
pieces=[
{"min":1, "max":9, "label":"1-9人", "color": "#CCFFFF"},
{"min":10, "max":99, "label":"10-99人", "color": "#FFFF99"},
{"min":100, "max":499, "label":"100-499人", "color": "#FF9966"},
{"min":500, "max":999, "label":"500-999人", "color": "#FF6666"},
{"min":1000, "max":9999, "label":"1000-9999人", "color": "#CC3333"},
{"min":10000, "label":"10000以上", "color": "#990033"}
]
)
)
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# 国内疫情地图构建
"""
全国疫情可视化地图开发
"""
import json
from pyecharts.charts import Map
from pyecharts.options import *
# 读取数据文件
f = open("C:/Users/liuwei/Desktop/疫情.txt", encoding="UTF-8")
data = f.read()
# 关闭文件
f.close()
# 取到各省数据
# 将字符串json转换为python的字典
data_dict = json.loads(data)
# 从字典中取出省份数据
province_data_list = data_dict["areaTree"][0]["children"]
# 组装每个省份和确诊人数为元组，并各个省的数据都封装入列表内
data_list = []
for province_data in province_data_list:
province_name = province_data["name"] + "省"
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")
map.set_global_opts(
title_opts=TitleOpts(title="全国疫情地图"),
visualmap_opts=VisualMapOpts(
is_show=True,
is_piecewise=True,
pieces=[
{"min":1, "max":99, "label":"1-99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, "label":"10000+","color":"#990033"}
]
)
)
# 绘图
map.render("全国疫情地图.html")
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