黑马程序员 python可视化案例 P105-107 地图可视化 笔记_黑马程序员可视化案例数据

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前言

掌握使用pyecharts构建基础的地图可视化图表
课程链接
点击链接保存疫情.txt
疫情.txt

一、测试地图

实现代码

"""
演示地图可视化的基本使用
"""
from pyecharts.charts import Map
from pyecharts.options import VisualMapOpts

# 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")

# 设置全局选项
map.set_global_opts(
    visualmap_opts=VisualMapOpts(
        is_show=True,
        is_piecewise=True,
        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()

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结果展示

二、全国疫情地图

实现代码

"""
演示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("E:/疫情.txt", "r", encoding="UTF-8")
data = f.read()     # 全部数据
# 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)        # 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，并各个省的数据都封装入列表内
data_list = []      # 绘图需要用的数据列表
for province_data in province_data_list:
    province_name = province_data["name"]
    province_confirm = province_data["total"]["confirm"]
    if province_name == "北京" or province_name == "天津" or province_name == "上海" or province_name == "重庆":
        data_list.append((province_name + "市", province_confirm))
    elif province_name == "西藏" or province_name == "内蒙古":
        data_list.append((province_name + "自治区", province_confirm))
    elif province_name == "广西":
        data_list.append((province_name + "壮族自治区", province_confirm))
    elif province_name == "宁夏":
        data_list.append((province_name + "回族自治区", province_confirm))
    elif province_name == "新疆":
        data_list.append((province_name + "维吾尔自治区", province_confirm))
    elif province_name=="澳门" or province_name=="香港":
        data_list.append((province_name + "特别行政区", province_confirm))
    else:
        data_list.append((province_name + "省", province_confirm))
    # 确诊人数
    # data_list.append((province_name, province_confirm))



# 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, "lable": "1~99人", "color": "#CCFFFF"},
            {"min": 100, "max": 999, "lable": "100~9999人", "color": "#FFFF99"},
            {"min": 1000, "max": 4999, "lable": "1000~4999人", "color": "#FF9966"},
            {"min": 5000, "max": 9999, "lable": "5000~99999人", "color": "#FF6666"},
            {"min": 10000, "max": 99999, "lable": "10000~99999人", "color": "#CC3333"},
            {"min": 100000, "lable": "100000+", "color": "#990033"},
        ]
    )
)
# 绘图
map.render("全国疫情地图.html")

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结果展示

三、省级疫情地图可视化

实现代码

"""
演示河南省疫情地图开发
"""
import json
from pyecharts.charts import Map
from pyecharts.options import *

# 读取文件
f = open("E:/疫情.txt", "r", encoding="UTF-8")
data = f.read()
# 关闭文件
f.close()
# 获取河南省数据
# json数据转换为python字典
data_dict = json.loads(data)
# 取到河南省数据
cities_data = data_dict["areaTree"][0]["children"][3]["children"]

# 准备数据为元组并放入list
data_list = []
for city_data in cities_data:
    city_name = city_data["name"] + "市"
    city_confirm = city_data["total"]["confirm"]
    data_list.append((city_name, city_confirm))
# print(data_list)
# 手动添加济源市的数据
data_list.append(("济源市", 5))

# 构建地图
map = Map()
map.add("河南省疫情分布", data_list, "河南")
# 设置全局选项
map.set_global_opts(
    title_opts=TitleOpts(title="河南省疫情地图"),
    visualmap_opts=VisualMapOpts(
        is_show=True,           # 是否显示
        is_piecewise=True,      # 是否分段
        pieces=[
            {"min": 1, "max": 99, "lable": "1~99人", "color": "#CCFFFF"},
            {"min": 100, "max": 999, "lable": "100~9999人", "color": "#FFFF99"},
            {"min": 1000, "max": 4999, "lable": "1000~4999人", "color": "#FF9966"},
            {"min": 5000, "max": 9999, "lable": "5000~99999人", "color": "#FF6666"},
            {"min": 10000, "max": 99999, "lable": "10000~99999人", "color": "#CC3333"},
            {"min": 100000, "lable": "100000+", "color": "#990033"},
        ]
    )
)

# 绘图
map.render("河南省疫情地图.html")

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结果展示