tac*_*yon 4 python string list count cpu-word
考虑
doc = ["i am a fellow student", "we both are the good student", "a student works hard"]
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我有这个作为输入我只想打印整个列表中每个单词出现的次数:
例如 student 出现 3 次所以 预期输出student=3, a=2, etc
我能够打印文档中的唯一单词,但无法打印出现的次数。这是我使用的功能:
def fit(doc):
unique_words = set()
if isinstance(dataset, (list,)):
for row in dataset:
for word in row.split(" "):
if len(word) < 2:
continue
unique_words.add(word)
unique_words = sorted(list(unique_words))
return (unique_words)
doc=fit(docs)
print(doc)
['am', 'are', 'both', 'fellow', 'good', 'hard', 'student', 'the', 'we', 'works']
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我得到这个作为输出我只想要unique_words的出现次数。请问我该怎么做?
您只需要使用Counter,您将通过使用一行代码来解决问题:
from collections import Counter
doc = ["i am a fellow student",
"we both are the good student",
"a student works hard"]
count = dict(Counter(word for sentence in doc for word in sentence.split()))
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count 是你想要的字典:
{
'i': 1,
'am': 1,
'a': 2,
'fellow': 1,
'student': 3,
'we': 1,
'both': 1,
'are': 1,
'the': 1,
'good': 1,
'works': 1,
'hard': 1
}
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例如count['student'] == 3,count['a'] == 2等等。
在这里使用split()而不是split(' '):很重要:这样你就不会在count. 例子:
>>> sentence = "Hello world"
>>> dict(Counter(sentence.split(' ')))
{'Hello': 1, '': 4, 'world': 1}
>>> dict(Counter(sentence.split()))
{'Hello': 1, 'world': 1}
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