Python---pyecharts地图案例

基础：

# 可视化图表，导包（地图）
from pyecharts.charts import Map
from pyecharts.options import VisualMapOpts

# 生成地图对象
map = Map()

# 准备数据--------------元组
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_calculable=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()

全国：

import json
from pyecharts.charts import Map
from pyecharts.options import *

# 打开、读取、关闭文件
f = open("./疫情.txt", "r", encoding="UTF-8")
data = f.read()
f.close()

# JSON转换为Python
data_dict = json.loads(data)

# 取出省份
province_data_dict = data_dict["areaTree"][0]["children"]

# 每个省份
data_list = []
for province_data in province_data_dict:
    province_name = province_data["name"]  # 省份名字
    province_confirm = province_data["total"]["confirm"]  # 确诊人数
    data_list.append((province_name, province_confirm))

# print(data_list)

# 地图对象
map = Map()

# 添加数据
map.add("各省份确诊人数", data_list, "china")

# 全局选项
map.set_global_opts(
    title_opts=TitleOpts(title="全国疫情地图"),
    visualmap_opts=VisualMapOpts(
        is_calculable=True,  # 是否显示
        is_piecewise=True,  # 是否分段
        pieces=[  # 分段
            {"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": "100000-以上人", "color": "#990033"},
        ]
    )
)

# 绘图
map.render("疫情.html")

省份：

# 导包
import json
from pyecharts.charts import Map
from pyecharts.options import *

# 打开文件
f = open("./疫情.txt", "r", encoding="UTF-8")
data = f.read()
f.close()

# JSON 转 Python
data_dict = json.loads(data)

# 准备河南省数据
data_henan = data_dict["areaTree"][0]["children"][3]["children"]
# print(data_henan)

# 每个市的数据
data_list = []
for data_henan_num in data_henan:
    # print(data_henan_num)
    data_name = data_henan_num["name"] + "市"
    data_confirm = data_henan_num["total"]["confirm"]
    data_list.append((data_name, data_confirm))
# print(data_list)

# 手动添加济源市数据
data_list.append(("济源市", 5))

# 创建地图对象
map = Map()

# 添加数据
map.add("河南省数据", data_list, "河南")

# 设置全局选项
map.set_global_opts(
    title_opts=TitleOpts(title="河南疫情地图"),
    visualmap_opts=VisualMapOpts(
        is_calculable=True,  # 是否显示
        is_piecewise=True,  # 是否分段
        pieces=[  # 分段
            {"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": "100000-以上人", "color": "#990033"},
        ]
    )
)

# 生成图表
map.render("河南省疫情.html")

Python---pyecharts地图案例

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