如何在空间中使用生成器对象?

在这里,我加载spacy并通过标准管道传递数据:

nlp = spacy.load('en')

tweets = ['This is a dummy tweet for stack overflow',
         'What do we do with generator objects?']
spacy_tweets = []
for tweet in tweets:
    doc_tweet = nlp.pipe(tweet, batch_size = 10, n_threads = 3)
    spacy_tweets.append(doc_tweet)

现在,我想使用spaCy创建的Doc对象,然后用如下方式处理文本:

def spacy_tokenizer(tweet):
    tweet = [tok.lemma_.lower().strip() if tok.lemma_ != "-PRON-" else tok.lower_ for tok in tweet]
    tweet = [tok for tok in tweet if (tok not in stopwords and tok not in punctuations)] 
    return tweet

但这不起作用,因为spaCy在使用.pipe()方法时返回生成器对象。所以当我这么做的时候:

for tweet in spacy_tweets:
    print(tweet)

for tweet in spacy_tweets[0]:
    print(tweet)

我希望它在生成器中打印Doc对象或tweet的文本,但它没有这样做。取而代之的是,它单独打印每个字符。