使用以下代码，为什么我不能在列表中使用带有 5 个连接单词元素的 Google 趋势 API PyTrends？

如何解决使用以下代码，为什么我不能在列表中使用带有 5 个连接单词元素的 Google 趋势 API PyTrends？

作为参考，我正在使用本教程：https://towardsdatascience.com/a-very-precise-fast-way-to-pull-google-trends-data-automatically-4c3c431960aa

import pandas as pd
import pytrends
from pytrends.request import TrendReq
pytrend = TrendReq()

KEYWORDS=['Nike','Adidas','Under Armour','Zara','H&M','Louis Vuitton'] 
KEYWORDS_CODES=[pytrend.suggestions(keyword=i)[0] for i in KEYWORDS] 
df_CODES= pd.DataFrame(KEYWORDS_CODES)
df_CODES

EXACT_KEYWORDS=df_CODES['mid'].to_list()
DATE_INTERVAL='2020-01-01 2020-05-01'
COUNTRY=["US","GB","DE"] #Use this link for iso country code
CATEGORY=0 # Use this link to select categories
SEARCH_TYPE='' #default is 'web searches',others include 'images','news','youtube','froogle' (google shopping)

Individual_EXACT_KEYWORD = list(zip(*[iter(EXACT_KEYWORDS)]*1))
Individual_EXACT_KEYWORD = [list(x) for x in Individual_EXACT_KEYWORD]
dicti = {}
i = 1
for Country in COUNTRY:
    for keyword in Individual_EXACT_KEYWORD:
        pytrend.build_payload(kw_list=keyword,timeframe = DATE_INTERVAL,geo = Country,cat=CATEGORY,gprop=SEARCH_TYPE) 
        dicti[i] = pytrend.interest_over_time()
        i+=1
df_trends = pd.concat(dicti,axis=1)

df_trends.columns = df_trends.columns.droplevel(0) #drop outside header
df_trends = df_trends.drop('isPartial',axis = 1) #drop "isPartial"
df_trends.reset_index(level=0,inplace=True) #reset_index
df_trends.columns=['date','Nike-US','Adidas-US','Under Armour-US','Zara-US','H&M-US','Louis Vuitton-US','Nike-UK','Adidas-UK','Under Armour-UK','Zara-UK','H&M-UK','Louis Vuitton-UK','Nike-Germany','Adidas-Germany','Under Armour-Germany','Zara-Germany','H&M-Germany','Louis Vuitton-Germany'] #change column names

当我像这样一起使用多个单词时，为什么它会给我一个列表索引超出范围的错误：

KEYWORDS=['Nike + Adidas + Puma','Louis Vuitton'] 

当我在 Google Trends 网站上连接并使用：“Nike + Adidas + Puma”时，它仍然为我提供了该连接字符串的地图和历史频率。但是为什么在 KEYWORDS 变量中执行时会给出列表超出范围的错误？

谢谢