Python地理地图可视化:folium把百度地图中国城市中心经纬度解析出来并在地图上展示（三）

本是古典何须时尚 2022-12-24 12:57 199阅读 0赞

# python地理地图可视化:folium把百度地图各个城市经纬度解析出来并在地图上展示（三） #

上一篇（[https://zhangphil.blog.csdn.net/article/details/110264421][https_zhangphil.blog.csdn.net_article_details_110264421]）把百度地图各个城市的经纬度解析出来了，现在通过folium把各个经纬度点在地图上绘制出来，代码如下：

import json
    import webbrowser as wb
    
    import folium
    
    NAME = 'n'
    GEO = 'g'
    CITY = 'city'
    CITIES = 'cities'
    PROVINCE = 'province'
    PROVINCES = 'provinces'
    LAT = 'latitude'
    LNG = 'longitude'
    
    
    # 把百度地图文件装入字符串
    def load_origin_bd_file_to_str():
        f = open(file='BaiduMap_cityCenter.txt', mode='r', encoding='gbk')
        sss = f.read()
        f.close()
        return sss
    
    
    def clean_data(sss):
        target = ('municipalities:', 'provinces:', 'cities:', 'n:', 'g:', 'other:')
        for old in target:
            news = '\"' + old.replace(':', '') + '\":'
            newsss = sss.replace(old, news)
            sss = newsss
    
        sss = sss.replace(';', '')
        return sss
    
    
    def get_city_lnglat(provin, cities):
        lnglats = []
    
        for c in cities:
            city_name = c[NAME]
            city_geo = c[GEO]
            lnglat = city_geo.split(',')
            lng = lnglat[0]
            lat = lnglat[1].split('|')[0]
            geo_dict = {}
            geo_dict.__setitem__(PROVINCE, provin)
            geo_dict.__setitem__(CITY, city_name)
            geo_dict.__setitem__(LNG, lng)
            geo_dict.__setitem__(LAT, lat)
            lnglats.append(geo_dict)
    
        return lnglats
    
    
    # 根据传入的各个城市经纬度绘制地图点
    def draw_map(city_lnglats):
        map = folium.Map(location=[35.3, 100.6],
                         zoom_start=4,
                         zoom_control=True,
                         tiles='OpenStreetMap')  # 默认OpenStreetMap
    
        for city in city_lnglats:
            for c in city:
                folium.Marker(
                    location=[c[LAT], c[LNG]],
                    opacity=0.8,
                    popup='<i>{0}\n{1}\n{2}\n{3}</i>'.format(c[CITY], c[LAT], c[LNG], c[PROVINCE]),
                    icon=folium.Icon(color="red",
                                     # icon='cloud
                                     )  # 默认的icon=info_sign,cloud样式也不错
                ).add_to(map)
    
        map.save('map.html')
        wb.open('map.html')  # 浏览器打开
    
    
    if __name__ == '__main__':
        origin_s = load_origin_bd_file_to_str()
        res = clean_data(origin_s)
        json_result = json.loads(res)  # 到这里已经是标准的json格式数据
        provinces = json_result[PROVINCES]
    
        city_lnglats = []
        for pro in provinces:
            city_lnglats.append(get_city_lnglat(provin=pro[NAME], cities=pro[CITIES]))
    
        draw_map(city_lnglats)

最终输出，如图所示：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW5ncGhpbA_size_16_color_FFFFFF_t_70][]

[https_zhangphil.blog.csdn.net_article_details_110264421]: https://zhangphil.blog.csdn.net/article/details/110264421
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW5ncGhpbA_size_16_color_FFFFFF_t_70]: /images/20221120/4de2a6a904d34f7596cc69fc1ea0d07c.png