python多行代码简化
python中,可以把多行代码简化为一行,把for循环和if条件判断都集中到一行里来写,示例如下:
>>> from nltk.corpus import stopwords
>>> english_stopwords = stopwords.words('english')#加载nltk中的英文停用词数据#创建一个列表,内含3个单词列表
>>> texts_tokenized = [['writing', 'ii', 'rhetorical', 'composing', 'rhetorical', 'composing'],['engages', 'series', 'interactive', 'reading'],['research', 'composing', 'activities', 'along', 'assignments', 'designed', 'help']]#用多行代码对texts_tokenized去停用词
>>> 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']]
然后改成用多行的常规写法:
'''
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'''
>>> 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']]
可以看到得出一样的结果,但是代码的效率和简洁程度大大提升
本文来自博客园,作者:I'm_江河湖海,转载请注明原文链接:https://www.cnblogs.com/jhhh/p/16760947.html