python多行代碼簡化

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python中，可以把多行代碼簡化為一行，把for迴圈和if條件判斷都集中到一行裡來寫，樣本如下：

>>> from nltk.corpus import stopwords>>> english_stopwords = stopwords.words(‘english‘)#載入nltk中的英文停用詞資料
#建立一個列表，內含3個單字清單>>> texts_tokenized = [[‘writing‘, ‘ii‘, ‘rhetorical‘, ‘composing‘, ‘rhetorical‘, ‘composing‘],[‘engages‘, ‘series‘, ‘interactive‘, ‘reading‘],[‘research‘, ‘composing‘, ‘activities‘, ‘along‘, ‘assignments‘, ‘designed‘, ‘help‘]]
#用多行代碼對texts_tokenized去停用詞>>> text_filtered_stopwords = [[word for word in document if not word in english_stopwords] for document in texts_tokenized]>>> text_filtered_stopwords[[‘writing‘, ‘ii‘, ‘rhetorical‘, ‘composing‘, ‘rhetorical‘, ‘composing‘], [‘engages‘, ‘series‘, ‘interactive‘, ‘reading‘], [‘research‘, ‘composing‘, ‘activities‘, ‘along‘, ‘assignments‘, ‘designed‘, ‘help‘]]

然後改成用多行的常規寫法：

>>> texts_tokenized = [[‘writing‘, ‘ii‘, ‘rhetorical‘, ‘composing‘, ‘rhetorical‘, ‘composing‘],[‘engages‘, ‘series‘, ‘interactive‘, ‘reading‘],[‘research‘, ‘composing‘, ‘activities‘, ‘along‘, ‘assignments‘, ‘designed‘, ‘help‘]]>>> documents = []>>> texts_filtered_stopwords =[]>>> for document in texts_tokenized:    　　for word in document:        　　if word not in english_stopwords:            　　documents.append(word)    　　texts_filtered_stopwords.append(document)    >>> texts_filtered_stopwords[[‘writing‘, ‘ii‘, ‘rhetorical‘, ‘composing‘, ‘rhetorical‘, ‘composing‘], [‘engages‘, ‘series‘, ‘interactive‘, ‘reading‘], [‘research‘, ‘composing‘, ‘activities‘, ‘along‘, ‘assignments‘, ‘designed‘, ‘help‘]]

可以看到得出一樣的結果，但是代碼的效率和簡潔程度大大提升

python多行代碼簡化