Python multi-line code simplification

In Python, you can simplify multiple lines of code into one line, with the For loop and if condition judgments all in one line, as shown in the following example:

>>> fromNltk.corpusImportStopwords>>> english_stopwords = Stopwords.words ('中文版') #加载nltk中的英文停用词数据
#创建一个列表 with a list of 3 words>>> texts_tokenized = [['Writing','II','Rhetorical','Composing','Rhetorical','Composing'],['engages','Series','Interactive','Reading'],[' the','Composing','Activities','along','Assignments','designed',' Help']]
#用多行代码对texts_tokenized去停用词>>> text_filtered_stopwords = [[[Word forWordinchDocumentif  notWordinchEnglish_stopwords] forDocumentinchTexts_tokenized]>>>text_filtered_stopwords[['Writing','II','Rhetorical','Composing','Rhetorical','Composing'], ['engages','Series','Interactive','Reading'], [' the','Composing','Activities','along','Assignments','designed',' Help']]

Then change to the general wording using multiple lines:

>>> texts_tokenized = [['Writing','II','Rhetorical','Composing','Rhetorical','Composing'],['engages','Series','Interactive','Reading'],[' the','Composing','Activities','along','Assignments','designed',' Help']]>>> documents = []>>> texts_filtered_stopwords =[]>>> forDocumentinchtexts_tokenized: forWordinchDocument:ifWord not inchenglish_stopwords:documents.append (Word) texts_filtered_stopwords.append (document)>>>texts_filtered_stopwords[['Writing','II','Rhetorical','Composing','Rhetorical','Composing'], ['engages','Series','Interactive','Reading'], [' the','Composing','Activities','along','Assignments','designed',' Help']]

You can see the same results, but the code is much more efficient and concise.

Python multi-line code simplification