如何在python中通过拆分列表元素来创建列表？

假设我有：

sentences = ['The girls are gorgeous', 'I'm mexican']

我想得到：

words = ['The','girls','are','gorgeous', 'I'm', 'mexican']

我试过：

words = [w.split(' ') for w in sentences] 

但并没有达到预期的效果

当我需要获得频率时，这对计数器（单词）有效吗？

像这样试试

sentences = ["The girls are gorgeous", "I'm mexican"]
words = [word for sentence in sentences for word in sentence.split(' ')]

sentences = ['The girls are gorgeous', "I'm mexican"]
from collections import Counter
print Counter(item for items in sentences for item in items.split())
# Counter({'mexican': 1, 'girls': 1, 'are': 1, 'gorgeous': 1, "I'm": 1, 'The':1})

Counter(item for items in sentences for item in items.split()).most_common(10)

---

您的方法无效，因为，

split

返回一个列表。因此，您的代码创建了一个嵌套列表。您需要将其展平，以便与

计数器一起使用。你可以用很多方法把它弄平

from itertools import chain
from collections import Counter
Counter(chain.from_iterable(words))

这是压平嵌套列表并找到频率的最佳方法。但是你可以使用一个生成器表达式，像这样

sentences = ["The girls are gorgeous", "I'm mexican"]
words = [word for sentence in sentences for word in sentence.split(' ')]

sentences = ['The girls are gorgeous', "I'm mexican"]
from collections import Counter
print Counter(item for items in sentences for item in items.split())
# Counter({'mexican': 1, 'girls': 1, 'are': 1, 'gorgeous': 1, "I'm": 1, 'The':1})

Counter(item for items in sentences for item in items.split()).most_common(10)

这将获取每个句子，将其拆分以获得单词列表，迭代这些单词并展平嵌套结构

若你们想找到前10个单词，那个么你们可以使用这样的方法

sentences = ["The girls are gorgeous", "I'm mexican"]
words = [word for sentence in sentences for word in sentence.split(' ')]

sentences = ['The girls are gorgeous', "I'm mexican"]
from collections import Counter
print Counter(item for items in sentences for item in items.split())
# Counter({'mexican': 1, 'girls': 1, 'are': 1, 'gorgeous': 1, "I'm": 1, 'The':1})

Counter(item for items in sentences for item in items.split()).most_common(10)

试试这个：

words = ' '.join(sentences).split()

“我是墨西哥人”
是无效语法。使用
“我是墨西哥人”
来代替。如果我想马上得到重复次数最多的10个怎么办？@diegoaguilar您可以使用这样的方法
打印计数器（item for items in句子中的item for items for items for items in items.split（））。最常见的（10）
Nice@thefourye您应该编辑您的问题，以便将来帮助更多的人。。再次感谢deeply@diegoaguilar你的意思是答案，对吗？；）我更新了：）天啊，是的，回答。我现在太累了，弄糊涂了