如何解决带有字典python的fuzzywuzzy
以下代码适用于数组：
g = ['hello how are you','how are you guys','what is your name']
s = ['how','guys']
MIN_MATCH_score = 38
guessed_word = [word for word in g if fuzz.token_set_ratio(s,word)
>= MIN_MATCH_score]
输出： '你好，你们好吗' '你们好吗
如何用字典实现上面的？
p = [{1: 'hey guys'},{1: 'how are you all'},{1: 'hello guys,how are you doing'}]
预期输出：
{1: 'hello how are you'},{1: 'how are you guys'}
希望我得到一些回应。
解决方法
from fuzzywuzzy import fuzz
p = [{1: 'hey guys'},{1: 'how are you all'},{1: 'what is your name'}]
s = ['how','guys']
MIN_MATCH_SCORE = 38
guessed_word= []
for i in p:
for key,value in i.items(): #dict.items used to access the (key-value) pair of dictionary
if(fuzz.token_set_ratio(s,value) >= MIN_MATCH_SCORE): #check the condition for each value,if it's satisfied create a dictionary & append it to result list
dict={}
dict[key]=value
guessed_word.append(dict)
print(guessed_word)
输出将是：
[{1: '嘿伙计们'},{1: '你们好吗'}]
,您的列表推导式可以转换为以下内容以使用字典。
guessed_word = [d for d in p if fuzz.token_set_ratio(s,list(d.values())[0]) >=
MIN_MATCH_SCORE]
说明：
d iterates over the dictionaries
list(d.values())[0] is the string portion of the dictionary i.e. 'hey guys',etc.
#这个也可以。 #g in p 在我的用例中。
guessed_word= []
for p in g:
for k,l in p.items():
l = [l]
#d = [fuzz.token_set_ratio(s,l) >= MIN_MATCH_SCORE]
d= [word for word in l if fuzz.token_set_ratio(s,word) >=
MIN_MATCH_SCORE]
guessed_word.append({k:d})
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