iframeタグが入れ子になっている問題の解決法

data = pd.read_excel('shop_address.xlsx', sheet_name='uniqlo', header=None)
df = pd.DataFrame()
for i in range(data.shape[0]):
    city = data.iloc[i,0]
    shop = data.iloc[i,1]
    shop_list = shop.split(',')
    tmp = pd.DataFrame({'city':city, 'shop':shop_list})
    df = pd.concat([df, tmp], axis=0)

df.to_excel('shop_address.xlsx',sheet_name='uniqlo')

def get_geocode(address):
    ak = 'Paste your AK for the Baidu Maps API call service here'
    sk = 'Paste the SK of your Baidu Maps API call service here'
    queryStr = '/geocoding/v3/?address=%s&output=json&ak=%s' % (address,ak) 
    # Transcode queryStr, reserved characters within safe are not converted
    encodedStr = urllib.parse.quote(queryStr, safe="/:=&? #+! $,;'@()*[]") 
    # Append yoursk directly at the end
    rawStr = encodedStr + sk 
    # Calculate sn
    sn = (hashlib.md5(urllib.parse.quote_plus(rawStr).encode("utf8")).hexdigest())     
    # Since the URL contains Chinese, it needs to be processed with parse.quote and then return the final callable url
    url = urllib.parse.quote("http://api.map.baidu.com"+queryStr+"&sn="+sn, safe="/:=&? #+! $,;'@()*[]")
    uh = urllib.request.urlopen(url)
    rst = uh.read().decode()    
    rst = eval(rst)
    lng, lat = None, None
    if rst['status'] == 0:
        loc = rst['result']['location']
        lng = loc['lng']
        lat = loc['lat']
    return lng,lat

file_name = 'shop_adress.xlsx'
sheet_name = ['zara','hm', 'uniqlo']
data = pd.read_excel(file_name, sheet_name)
full_data = pd.DataFrame()
for brand in sheet_name:    
    df = data[brand] 
    df['brand'] = brand # add brand column
    full_address = brand + df['city'] + df['shop'] # splice full address
    df['geocode'] = full_address.apply(get_geocode) # Calculate latitude and longitude
    full_data = pd.concat([full_data, df], axis=0, sort=False) # Combine 3 tables of data into one table
    
full_data['lng'] = full_data['geocode'].map(lambda x:x[0]) # longitude
full_data['lat'] = full_data['geocode'].map(lambda x:x[1]) # latitude

geo_cities_coords=
{full_data.iloc[i]['shop']:[full_data.iloc[i]['lng'], full_data.iloc[i]['lat']] 
for i in range(len(full_data))}