使用folium绘制移动轨迹

dt = '2022-05-01'
j=292917
for i in tqdm(range(31)):
    # 获取轨迹、揽件、派件数据
    df_liushuai = df_33[df_33['gpsDate'] == dt]

    # 获取liushuai当天的gps轨迹
    df_liushuai = df_liushuai.sort_values(by='gps_time')
    df_liushuai = df_liushuai.loc[:, ['lat_wgs', 'lon_wgs']].values

    # 将轨迹添加到图中
    m0 = folium.Map([df_33['lat_wgs'].mean(), df_33['lon_wgs'].mean()], zoom_start=30) # 中心区域的确定
    groups = folium.FeatureGroup('momomomo')

    df_liushuai = df_liushuai.tolist()

    # 将product的轨迹打印出来
    if df_liushuai != []:
        for loc in df_liushuai:
            folium.Circle(loc, radius=2, fill=True, color='red', fill_opacity=1).add_to(m0)
        folium.PolyLine( # polyline方法为将坐标用实线形式连接起来
            df_liushuai, # 将坐标点连接起来
            weight=2, # 线的大小为4
            color='red', # 线的颜色为红色
            opacity=0.8, # 线的透明度
        ).add_to(m0) # 将这条线添加到刚才的区域m内
#         dict_operator[j].append(dt)
    for lonlats in boundary_all_wgs:
        folium.PolyLine(locations=[[lat, lon] for lat,lon in lonlats], opacity=0.8, weight=3, color='orange').add_to(m0)
    # 保存yangzhen当天的可视化结果
    isExists=os.path.exists('heatmap/'+str(j))
    if not isExists:
        os.makedirs('heatmap/'+str(j))
    #print(m0)
    m0.save(os.path.join(r'heatmap',str(j), 'Heatmap{}.html'.format(dt),))
    # m2.save(os.path.join(r'C:\Users\chenjinwei14\PycharmProjects\pythonProject\tra', 'Heatmap{}-wangdongming.html'.format(i)))

    dt = datetime.datetime.strptime(dt, '%Y-%m-%d')
    dt = dt + relativedelta(days=1)
    dt = dt.strftime('%Y-%m-%d')