Python 如何为数据帧中的列创建反向索引？

我为我的刮取的数据创建了一个数据框，删除了标点符号、停止字并对其进行了标记。 如何为列名称和品牌创建反向索引

import nltk
import string
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
from nltk.stem import WordNetLemmatizer
import pandas as pd

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请编辑问题以直接包含代码，而不是作为图像或链接。

tokens = RegexpTokenizer(r'\w+')
macys_df['name'] = macys_df['name'].apply(lambda x: tokens.tokenize(x.lower()))
macys_df.head()

stop_words = set(stopwords.words('english')) 
stop_words = stop_words.union(",","(",")","[","]","{","}","#","@","!",":",";",".","?")

macys_df['name'] = macys_df['name'].apply(lambda x: [item for item in x if item not in stop_words])

Output - 
macys_df['name'].head()
0    [versa, 2, black, elastomer, strap, touchscree...
1    [men, digital, black, resin, strap, watch, 50,...
2      [versa, lite, white, strap, smart, watch, 39mm]
3    [access, mkgo, black, silicone, strap, touchsc...
4    [inspire, black, strap, activity, tracker, 19,...