TypeError：“zip”对象在 Python 中不可调用

Question

我正在尝试使用 Python 3.8 进行压缩，但不知道如何访问内容。我现在读到 zip() 是一个生成器，如果我想存储内容，我必须调用 dict(zip()) 。但是，我在执行此操作时遇到了错误。

例如：

from sklearn.feature_extraction.text import CountVectorizer
# initialise
count_vec = CountVectorizer()
word_list = []
for ques_split in [ques.split() for ques in group_wise_ques_list["dbo:genre"]]:
    # convert words to lower case
    word_list.extend(list(map(str.lower,ques_split)))
print(len(set(word_list)))

group_wise_ques_list = df.groupby(["Processedrelations"])["question"].apply(list)

# transform will normalise the data (if required) and fit will perform the matrix creation
genr_tdm = count_vec.fit_transform(group_wise_ques_list["dbo:genre"])
# convert the raw matrix into a dataframe
genr_tdm_df = pd.DataFrame(genr_tdm.toarray(), columns=count_vec.get_feature_names())


# for NLP, words itself are the features, hence get_feature_names will simply return the set of words
word_list_s = count_vec.get_feature_names(); 
# count the frequency of each word
count_list_s = genr_tdm.toarray().sum(axis=0) 
# create a dictionary with each word as key and its frequency as the value
freq_s = dict(zip(word_list_s,count_list_s))
# sort the dictionary in reverse order
freq_s = sorted(freq_s.items(), key = lambda x : x[1], reverse=True)
# display
freq_s

我收到了这个错误

TypeError: 'ZipFile' object is not callable

Answer 1

我运行这段代码并没有收到错误：

count_list_s = [2,4,6,8,10,12] 
word_list_s = ['adf','bdfd','cdfd','ddfd','edfd','fdfdf']

freq_s = (dict(zip(word_list_s, count_list_s)))


freq_s = sorted(freq_s.items(), key = lambda x : x[1], reverse=True)
freq_s

输出：

[('fdfdf', 12),
 ('edfd', 10),
 ('ddfd', 8),
 ('cdfd', 6),
 ('bdfd', 4),
 ('adf', 2)]