Python使用Pyecharts绘制交互式中国地图的流程解析

pip install pyecharts

# 中国省级地图（必须安装）
pip install echarts-china-provinces-pypkg

# 可选扩展包
pip install echarts-china-cities-pypkg  # 市级地图
pip install echarts-china-counties-pypkg  # 县级地图

[("北京", 100), ("上海", 200), ("广东", 300), ...]

import pandas as pd

# 读取CSV文件
df = pd.read_csv('sales_data.csv')

# 转换为元组列表
data = list(zip(df['省份'], df['销售额（亿元）']))

# 检查省份名称是否规范（避免"广东"与"广东省"混用）
valid_provinces = {"北京", "上海", "广东", "江苏", ...}  # 完整列表见附录
for item in data:
    if item[0] not in valid_provinces:
        print(f"发现无效省份名: {item[0]}")

from pyecharts.charts import Map
from pyecharts import options as opts

# 示例数据
data = [("北京", 100), ("上海", 200), ("广东", 300)]

# 创建地图
map_chart = (
    Map()
    .add("销售额", data, "china")
    .set_global_opts(
        title_opts=opts.TitleOpts(title="2025年各省份销售额"),
        visualmap_opts=opts.VisualMapOpts(max_=300)
    )
)

# 生成HTML文件
map_chart.render("china_map.html")

.add(..., center=[105, 36], zoom=1.2)  # 中心点设为地理中心，适当放大

.set_series_opts(
    label_opts=opts.LabelOpts(
        is_show=True,  # 显示标签
        color="#333",  # 标签颜色
        font_size=10   # 字体大小
    )
)

.set_global_opts(
    visualmap_opts=opts.VisualMapOpts(
        is_piecewise=True,  # 启用分段
        pieces=[
            {"min": 0, "max": 100, "label": "0-100亿", "color": "#FFE4E1"},
            {"min": 101, "max": 200, "label": "101-200亿", "color": "#FF7F50"},
            {"min": 201, "max": 300, "label": "201-300亿", "color": "#FF4500"},
            {"min": 301, "label": "300亿以上", "color": "#8B0000"}
        ]
    )
)

.set_series_opts(
    itemstyle_opts=opts.ItemStyleOpts(
        area_color="#142957",  # 省份底色
        border_color="#00f2fe",  # 边界颜色
        border_width=0.5  # 边界宽度
    )
)

.set_series_opts(
    emphasis_opts=opts.ItemStyleOpts(
        area_color="#00f2fe",  # 悬停时颜色
        border_color="#ffffff",  # 悬停时边界
        border_width=2  # 悬停时边界加粗
    )
)

gdp_data = [
    ("广东", 124369.67), ("江苏", 116364.2), 
    ("山东", 83095.90), ("浙江", 73516.3),
    ("河南", 58887.41), ("四川", 53850.79),
    ("湖北", 50012.94), ("福建", 48829.61),
    ("湖南", 46027.47), ("上海", 43214.85)
]

from pyecharts.charts import Map
from pyecharts import options as opts

# 创建地图
map_chart = (
    Map()
    .add(
        series_name="GDP（亿元）",
        data_pair=gdp_data,
        maptype="china",
        center=[105, 36],
        zoom=1.2
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title="2025年中国各省份GDP分布",
            subtitle="数据来源：国家统计局",
            pos_left="center"
        ),
        visualmap_opts=opts.VisualMapOpts(
            is_piecewise=True,
            max_=125000,
            pieces=[
                {"min": 0, "max": 50000, "label": "<5万亿", "color": "#FFE4E1"},
                {"min": 50001, "max": 80000, "label": "5-8万亿", "color": "#FFDAB9"},
                {"min": 80001, "max": 100000, "label": "8-10万亿", "color": "#FFA07A"},
                {"min": 100001, "label": ">10万亿", "color": "#FF6347"}
            ],
            pos_left="10%",
            pos_top="20%"
        ),
        tooltip_opts=opts.TooltipOpts(
            trigger="item",
            formatter="{b}<br/>{c}亿元"
        )
    )
    .set_series_opts(
        label_opts=opts.LabelOpts(
            is_show=True,
            color="#333",
            font_size=10
        ),
        itemstyle_opts=opts.ItemStyleOpts(
            area_color="#E6E6FA",
            border_color="#4682B4"
        ),
        emphasis_opts=opts.ItemStyleOpts(
            area_color="#9370DB",
            border_color="#FFFFFF",
            border_width=1.5
        )
    )
)

# 生成HTML
map_chart.render("2025_china_gdp_map.html")

pip install echarts-china-provinces-pypkg

valid_provinces = {
    "北京", "天津", "河北", "山西", "内蒙古", "辽宁", 
    "吉林", "黑龙江", "上海", "江苏", "浙江", "安徽", 
    "福建", "江西", "山东", "河南", "湖北", "湖南", 
    "广东", "广西", "海南", "重庆", "四川", "贵州", 
    "云南", "西藏", "陕西", "甘肃", "青海", "宁夏", 
    "新疆"
}

.set_global_opts(
    visualmap_opts=opts.VisualMapOpts(
        max_=50000,  # 手动设置最大值
        is_piecewise=True
    )
)

# Flask示例
from flask import Flask, render_template

app = Flask(__name__)

@app.route('/')
def show_map():
    # 生成地图（实际项目中可缓存结果）
    map_chart.render("templates/map.html")
    return render_template("map.html")

if __name__ == '__main__':
    app.run()

// 伪代码示例
setInterval(function() {
    fetch('/api/get_new_data')
        .then(res => res.json())
        .then(data => {
            myChart.setOption({
                series: [{
                    data: data
                }]
            });
        });
}, 5000);

pip install pyecharts-gallery

from pyecharts.charts import Map3D
from pyecharts import options as opts

map3d = (
    Map3D()
    .add_schema(
        maptype="china",
        itemstyle_opts=opts.ItemStyleOpts(
            color="#1E90FF",
            opacity=1,
            border_width=0.8
        )
    )
    .add(
        series_name="",
        data_pair=data,
        type_="bar3D",
        shading="lambert",
        label_opts=opts.LabelOpts(
            is_show=False
        )
    )
    .set_global_opts(
        visualmap_opts=opts.VisualMapOpts(max_=300)
    )
)
map3d.render("3d_map.html")