coucou les amis je m'excuse je suis perdu dan le code help me please
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import numpy as np 
 
#with open(r'C:\Users\User\Desktop\rockyou.txt', "r",encoding="ISO-8859-1") as f:
 #   lines = f.readlines()
df_result = pd.read_excel(r'C:\Users\User\Downloads\Memoireid3125439.xlsx')
 
#df_result = pd.DataFrame(columns=('id', 'password'))
documents=("K KAPOOR","L KAPOOR")
 
tfidf_vectorizer=TfidfVectorizer()
tfidf_matrix=tfidf_vectorizer.fit_transform(documents) 
#for i,line in enumerate(lines):
 #   id, password = line.split()
  #  df_result.loc[i] = [id, password]
   # print(df_result)
 
 
 
# read by default 1st sheet of an excel file
 
 
for i in df_result.index:
    documents=(df_result["id"][i],df_result["password"][i])
    tfidf_vectorizer=TfidfVectorizer()
    tfidf_matrix=tfidf_vectorizer.fit_transform(documents) 
    result = cosine_similarity(tfidf_matrix[0:1],tfidf_matrix)
    #Levensthein = Leveinshtein.distance(df_result["id"][i],df_result["password"][i])
    #jaccard = nltk.jaccard_distance(df_result["id"][i],df_result["password"][i])
    print(result)
je n'arrive pas a calculer le cosine similarity