Pyechart1.19 national air quality exhibition

Code up ：

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

data = [
    [" Haimen ", 9],
    [" ordos ", 12],
    [" Zhaoyuan ", 12],
    [" zhoushan ", 12],
    [" Qiqihar ", 14],
    [" yancheng ", 15],
    [" Chifeng ", 16],
    [" Qingdao ", 18],
    [" Rushan ", 18],
    [" Jinchang ", 19],
    [" quanzhou ", 21],
    [" Laixi ", 21],
    [" sunshine ", 21],
    [" Jiaonan ", 22],
    [" nantong ", 23],
    [" Lhasa ", 24],
    [" The clouds are floating ", 24],
    [" Meizhou ", 25],
    [" Wenden ", 25],
    [" Shanghai ", 25],
    [" Panzhihua ", 25],
    [" weihai ", 25],
    [" chengde ", 25],
    [" Xiamen ", 26],
    [" Shanwei ", 26],
    [" Chaozhou ", 26],
    [" Dandong ", 27],
    [" Taicang ", 27],
    [" Qujing ", 27],
    [" yantai ", 28],
    [" fuzhou ", 29],
    [" Wafangdian ", 30],
    [" Jimo ", 30],
    [" Fushun ", 31],
    [" Yuxi ", 31],
    [" zhangjiakou ", 31],
    [" Yangquan ", 31],
    [" Laizhou ", 32],
    [" huzhou ", 32],
    [" Shantou ", 32],
    [" Kunshan ", 33],
    [" ningbo ", 33],
    [" zhanjiang ", 33],
    [" Jieyang ", 34],
    [" Rongcheng ", 34],
    [" lianyungang ", 35],
    [" Huludao ", 35],
    [" Changshu ", 36],
    [" dongguan ", 36],
    [" Heyuan ", 36],
    [" huaian ", 36],
    [" Taizhou ", 36],
    [" nanning ", 37],
    [" Yingkou ", 37],
    [" huizhou ", 37],
    [" Jiangyin ", 37],
    [" Penglai ", 37],
    [" Shaoguan ", 38],
    [" Jiayuguan ", 38],
    [" Guangzhou ", 38],
    [" yanan ", 38],
    [" taiyuan ", 39],
    [" qingyuan ", 39],
    [" zhongshan ", 39],
    [" kunming ", 39],
    [" Shouguang ", 40],
    [" Panjin ", 40],
    [" changzhi ", 41],
    [" Shenzhen ", 41],
    [" zhuhai ", 42],
    [" Suqian ", 43],
    [" xianyang ", 43],
    [" Tongchuan ", 44],
    [" Pingdu ", 44],
    [" foshan ", 44],
    [" haikou ", 44],
    [" Jiangmen ", 45],
    [" Zhangqiu ", 45],
    [" zhaoqing ", 46],
    [" dalian ", 47],
    [" Linfen ", 47],
    [" Wujiang ", 47],
    [" Shizuishan ", 49],
    [" shenyang ", 50],
    [" Suzhou ", 50],
    [" Maoming ", 50],
    [" jiaxing ", 51],
    [" changchun ", 51],
    [" Jiaozhou ", 52],
    [" yinchuan ", 52],
    [" Zhangjiagang ", 52],
    [" Sanmenxia ", 53],
    [" Jinzhou ", 54],
    [" nanchang ", 54],
    [" Liuzhou ", 54],
    [" sanya ", 54],
    [" Zigong ", 56],
    [" Ji Lin ", 56],
    [" Yangjiang ", 57],
    [" Luzhou ", 57],
    [" xining ", 57],
    [" Yibin ", 58],
    [" Hohhot, ", 58],
    [" Chengdu ", 58],
    [" datong ", 58],
    [" zhenjiang ", 59],
    [" guilin ", 59],
    [" zhangjiajie ", 59],
    [" Yixing ", 59],
    [" The north sea ", 60],
    [" Xi'an ", 61],
    [" Jintan ", 62],
    [" dongying ", 62],
    [" Mudanjiang ", 63],
    [" zunyi ", 63],
    [" shaoxing ", 63],
    [" yangzhou ", 64],
    [" changzhou ", 64],
    [" weifang ", 65],
    [" Chongqing ", 66],
    [" Taizhou ", 67],
    [" nanjing ", 67],
    [" Binzhou ", 70],
    [" guiyang ", 71],
    [" wuxi ", 71],
    [" Benxi ", 71],
    [" karamay ", 72],
    [" Weinan ", 72],
    [" Ma'anshan ", 72],
    [" baoji ", 72],
    [" Jiaozuo ", 75],
    [" Jurong ", 75],
    [" Beijing ", 79],
    [" xuzhou ", 79],
    [" hengshui ", 80],
    [" baotou ", 80],
    [" mianyang ", 80],
    [" urumqi ", 84],
    [" Zaozhuang ", 84],
    [" Hangzhou ", 84],
    [" zibo ", 85],
    [" Anshan ", 86],
    [" liyang ", 86],
    [" Korla ", 86],
    [" anyang ", 90],
    [" kaifeng ", 90],
    [" jinan ", 92],
    [" deyang ", 93],
    [" wenzhou ", 95],
    [" Jiujiang ", 96],
    [" handan ", 98],
    [" Ling'an ", 99],
    [" lanzhou ", 99],
    [" Cangzhou ", 100],
    [" Linyi ", 103],
    [" nanchong ", 104],
    [" tianjin ", 105],
    [" fuyang ", 106],
    [" Taian ", 112],
    [" Zhuji ", 112],
    [" zhengzhou ", 113],
    [" Harbin ", 114],
    [" Liaocheng ", 116],
    [" wuhu ", 117],
    [" Tangshan ", 119],
    [" Pingdingshan ", 119],
    [" xingtai ", 119],
    [" Texas ", 120],
    [" Jining ", 120],
    [" jingzhou ", 127],
    [" yichang ", 130],
    [" Yiwu ", 132],
    [" Lishui ", 133],
    [" luoyang ", 134],
    [" qinhuangdao ", 136],
    [" zhuzhou ", 143],
    [" shijiazhuang ", 147],
    [" Laiwu ", 148],
    [" changde ", 152],
    [" baoding ", 153],
    [" xiangtan ", 154],
    [" jinhua ", 157],
    [" Yueyang ", 169],
    [" Changsha ", 175],
    [" Quzhou ", 177],
    [" langfang ", 193],
    [" Heze ", 194],
    [" Hefei ", 229],
    [" wuhan ", 273],
    [" Daqing ", 279],
]

geoCoordMap = {
    " Haimen ": [121.15, 31.89],
    " ordos ": [109.781327, 39.608266],
    " Zhaoyuan ": [120.38, 37.35],
    " zhoushan ": [122.207216, 29.985295],
    " Qiqihar ": [123.97, 47.33],
    " yancheng ": [120.13, 33.38],
    " Chifeng ": [118.87, 42.28],
    " Qingdao ": [120.33, 36.07],
    " Rushan ": [121.52, 36.89],
    " Jinchang ": [102.188043, 38.520089],
    " quanzhou ": [118.58, 24.93],
    " Laixi ": [120.53, 36.86],
    " sunshine ": [119.46, 35.42],
    " Jiaonan ": [119.97, 35.88],
    " nantong ": [121.05, 32.08],
    " Lhasa ": [91.11, 29.97],
    " The clouds are floating ": [112.02, 22.93],
    " Meizhou ": [116.1, 24.55],
    " Wenden ": [122.05, 37.2],
    " Shanghai ": [121.48, 31.22],
    " Panzhihua ": [101.718637, 26.582347],
    " weihai ": [122.1, 37.5],
    " chengde ": [117.93, 40.97],
    " Xiamen ": [118.1, 24.46],
    " Shanwei ": [115.375279, 22.786211],
    " Chaozhou ": [116.63, 23.68],
    " Dandong ": [124.37, 40.13],
    " Taicang ": [121.1, 31.45],
    " Qujing ": [103.79, 25.51],
    " yantai ": [121.39, 37.52],
    " fuzhou ": [119.3, 26.08],
    " Wafangdian ": [121.979603, 39.627114],
    " Jimo ": [120.45, 36.38],
    " Fushun ": [123.97, 41.97],
    " Yuxi ": [102.52, 24.35],
    " zhangjiakou ": [114.87, 40.82],
    " Yangquan ": [113.57, 37.85],
    " Laizhou ": [119.942327, 37.177017],
    " huzhou ": [120.1, 30.86],
    " Shantou ": [116.69, 23.39],
    " Kunshan ": [120.95, 31.39],
    " ningbo ": [121.56, 29.86],
    " zhanjiang ": [110.359377, 21.270708],
    " Jieyang ": [116.35, 23.55],
    " Rongcheng ": [122.41, 37.16],
    " lianyungang ": [119.16, 34.59],
    " Huludao ": [120.836932, 40.711052],
    " Changshu ": [120.74, 31.64],
    " dongguan ": [113.75, 23.04],
    " Heyuan ": [114.68, 23.73],
    " huaian ": [119.15, 33.5],
    " Taizhou ": [119.9, 32.49],
    " nanning ": [108.33, 22.84],
    " Yingkou ": [122.18, 40.65],
    " huizhou ": [114.4, 23.09],
    " Jiangyin ": [120.26, 31.91],
    " Penglai ": [120.75, 37.8],
    " Shaoguan ": [113.62, 24.84],
    " Jiayuguan ": [98.289152, 39.77313],
    " Guangzhou ": [113.23, 23.16],
    " yanan ": [109.47, 36.6],
    " taiyuan ": [112.53, 37.87],
    " qingyuan ": [113.01, 23.7],
    " zhongshan ": [113.38, 22.52],
    " kunming ": [102.73, 25.04],
    " Shouguang ": [118.73, 36.86],
    " Panjin ": [122.070714, 41.119997],
    " changzhi ": [113.08, 36.18],
    " Shenzhen ": [114.07, 22.62],
    " zhuhai ": [113.52, 22.3],
    " Suqian ": [118.3, 33.96],
    " xianyang ": [108.72, 34.36],
    " Tongchuan ": [109.11, 35.09],
    " Pingdu ": [119.97, 36.77],
    " foshan ": [113.11, 23.05],
    " haikou ": [110.35, 20.02],
    " Jiangmen ": [113.06, 22.61],
    " Zhangqiu ": [117.53, 36.72],
    " zhaoqing ": [112.44, 23.05],
    " dalian ": [121.62, 38.92],
    " Linfen ": [111.5, 36.08],
    " Wujiang ": [120.63, 31.16],
    " Shizuishan ": [106.39, 39.04],
    " shenyang ": [123.38, 41.8],
    " Suzhou ": [120.62, 31.32],
    " Maoming ": [110.88, 21.68],
    " jiaxing ": [120.76, 30.77],
    " changchun ": [125.35, 43.88],
    " Jiaozhou ": [120.03336, 36.264622],
    " yinchuan ": [106.27, 38.47],
    " Zhangjiagang ": [120.555821, 31.875428],
    " Sanmenxia ": [111.19, 34.76],
    " Jinzhou ": [121.15, 41.13],
    " nanchang ": [115.89, 28.68],
    " Liuzhou ": [109.4, 24.33],
    " sanya ": [109.511909, 18.252847],
    " Zigong ": [104.778442, 29.33903],
    " Ji Lin ": [126.57, 43.87],
    " Yangjiang ": [111.95, 21.85],
    " Luzhou ": [105.39, 28.91],
    " xining ": [101.74, 36.56],
    " Yibin ": [104.56, 29.77],
    " Hohhot, ": [111.65, 40.82],
    " Chengdu ": [104.06, 30.67],
    " datong ": [113.3, 40.12],
    " zhenjiang ": [119.44, 32.2],
    " guilin ": [110.28, 25.29],
    " zhangjiajie ": [110.479191, 29.117096],
    " Yixing ": [119.82, 31.36],
    " The north sea ": [109.12, 21.49],
    " Xi'an ": [108.95, 34.27],
    " Jintan ": [119.56, 31.74],
    " dongying ": [118.49, 37.46],
    " Mudanjiang ": [129.58, 44.6],
    " zunyi ": [106.9, 27.7],
    " shaoxing ": [120.58, 30.01],
    " yangzhou ": [119.42, 32.39],
    " changzhou ": [119.95, 31.79],
    " weifang ": [119.1, 36.62],
    " Chongqing ": [106.54, 29.59],
    " Taizhou ": [121.420757, 28.656386],
    " nanjing ": [118.78, 32.04],
    " Binzhou ": [118.03, 37.36],
    " guiyang ": [106.71, 26.57],
    " wuxi ": [120.29, 31.59],
    " Benxi ": [123.73, 41.3],
    " karamay ": [84.77, 45.59],
    " Weinan ": [109.5, 34.52],
    " Ma'anshan ": [118.48, 31.56],
    " baoji ": [107.15, 34.38],
    " Jiaozuo ": [113.21, 35.24],
    " Jurong ": [119.16, 31.95],
    " Beijing ": [116.46, 39.92],
    " xuzhou ": [117.2, 34.26],
    " hengshui ": [115.72, 37.72],
    " baotou ": [110, 40.58],
    " mianyang ": [104.73, 31.48],
    " urumqi ": [87.68, 43.77],
    " Zaozhuang ": [117.57, 34.86],
    " Hangzhou ": [120.19, 30.26],
    " zibo ": [118.05, 36.78],
    " Anshan ": [122.85, 41.12],
    " liyang ": [119.48, 31.43],
    " Korla ": [86.06, 41.68],
    " anyang ": [114.35, 36.1],
    " kaifeng ": [114.35, 34.79],
    " jinan ": [117, 36.65],
    " deyang ": [104.37, 31.13],
    " wenzhou ": [120.65, 28.01],
    " Jiujiang ": [115.97, 29.71],
    " handan ": [114.47, 36.6],
    " Ling'an ": [119.72, 30.23],
    " lanzhou ": [103.73, 36.03],
    " Cangzhou ": [116.83, 38.33],
    " Linyi ": [118.35, 35.05],
    " nanchong ": [106.110698, 30.837793],
    " tianjin ": [117.2, 39.13],
    " fuyang ": [119.95, 30.07],
    " Taian ": [117.13, 36.18],
    " Zhuji ": [120.23, 29.71],
    " zhengzhou ": [113.65, 34.76],
    " Harbin ": [126.63, 45.75],
    " Liaocheng ": [115.97, 36.45],
    " wuhu ": [118.38, 31.33],
    " Tangshan ": [118.02, 39.63],
    " Pingdingshan ": [113.29, 33.75],
    " xingtai ": [114.48, 37.05],
    " Texas ": [116.29, 37.45],
    " Jining ": [116.59, 35.38],
    " jingzhou ": [112.239741, 30.335165],
    " yichang ": [111.3, 30.7],
    " Yiwu ": [120.06, 29.32],
    " Lishui ": [119.92, 28.45],
    " luoyang ": [112.44, 34.7],
    " qinhuangdao ": [119.57, 39.95],
    " zhuzhou ": [113.16, 27.83],
    " shijiazhuang ": [114.48, 38.03],
    " Laiwu ": [117.67, 36.19],
    " changde ": [111.69, 29.05],
    " baoding ": [115.48, 38.85],
    " xiangtan ": [112.91, 27.87],
    " jinhua ": [119.64, 29.12],
    " Yueyang ": [113.09, 29.37],
    " Changsha ": [113, 28.21],
    " Quzhou ": [118.88, 28.97],
    " langfang ": [116.7, 39.53],
    " Heze ": [115.480656, 35.23375],
    " Hefei ": [117.27, 31.86],
    " wuhan ": [114.31, 30.52],
    " Daqing ": [125.03, 46.58],
}


def convert_data():
    res = []
    for i in range(len(data)):
        geo_coord = geoCoordMap[data[i][0]]
        geo_coord.append(data[i][1])
        res.append([data[i][0], geo_coord])
    return res


(
    BMap(init_opts=opts.InitOpts(width="1400px", height="800px"))
    .add(
        type_="effectScatter",
        series_name="pm2.5",
        data_pair=convert_data(),
        symbol_size=10,
        effect_opts=opts.EffectOpts(),
        label_opts=opts.LabelOpts(formatter="{b}", position="right", is_show=False),
        itemstyle_opts=opts.ItemStyleOpts(color="purple"),
    )
    .add_schema(
        baidu_ak="FAKE_AK",
        center=[104.114129, 37.550339],
        zoom=5,
        is_roam=True,
        map_style={
            "styleJson": [
                {
                    "featureType": "water",
                    "elementType": "all",
                    "stylers": {"color": "#044161"},
                },
                {
                    "featureType": "land",
                    "elementType": "all",
                    "stylers": {"color": "#004981"},
                },
                {
                    "featureType": "boundary",
                    "elementType": "geometry",
                    "stylers": {"color": "#064f85"},
                },
                {
                    "featureType": "railway",
                    "elementType": "all",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "highway",
                    "elementType": "geometry",
                    "stylers": {"color": "#004981"},
                },
                {
                    "featureType": "highway",
                    "elementType": "geometry.fill",
                    "stylers": {"color": "#005b96", "lightness": 1},
                },
                {
                    "featureType": "highway",
                    "elementType": "labels",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "arterial",
                    "elementType": "geometry",
                    "stylers": {"color": "#004981"},
                },
                {
                    "featureType": "arterial",
                    "elementType": "geometry.fill",
                    "stylers": {"color": "#00508b"},
                },
                {
                    "featureType": "poi",
                    "elementType": "all",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "green",
                    "elementType": "all",
                    "stylers": {"color": "#056197", "visibility": "off"},
                },
                {
                    "featureType": "subway",
                    "elementType": "all",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "manmade",
                    "elementType": "all",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "local",
                    "elementType": "all",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "arterial",
                    "elementType": "labels",
                    "stylers": {"visibility": "off"},
                },
                {
                    "featureType": "boundary",
                    "elementType": "geometry.fill",
                    "stylers": {"color": "#029fd4"},
                },
                {
                    "featureType": "building",
                    "elementType": "all",
                    "stylers": {"color": "#1a5787"},
                },
                {
                    "featureType": "label",
                    "elementType": "all",
                    "stylers": {"visibility": "off"},
                },
            ]
        },
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title=" Air quality in major cities of the country ",
            subtitle="data from PM25.in",
            subtitle_link="http://www.pm25.in",
            pos_left="center",
            title_textstyle_opts=opts.TextStyleOpts(color="#fff"),
        ),
        tooltip_opts=opts.TooltipOpts(trigger="item"),
    )
    .render("air_quality_baidu_map.html")
)

Generated after operation ,air_quality_baidu_map.html file ： The HTML Files need to use Google browser or IE Browser open

Open it as shown in the following figure