我有以下字符串
text
USA guidances/regulations
US guidances/regulations
96
text
US guidances/regulations
US guidances/regulations
100
text
Australia guidances/regulations
US guidances/regulations
92
text
China Guidances/Regulations
US guidances/regulations
92
text
EU guidances/regulations
US guidances/regulations
98
text 下的第一个是输入字符串,第二个是与之匹配的字符串。最后是他们的fuzzywuzzy比率。我是这样匹配的:
ratio = fuzz.partial_ratio(t.lower(), txt.lower())
如果国家/地区名称不同,则应返回较低的分数,而不是相似时。有没有办法做到这一点?
答案 0 :(得分:1)
根据您提供的代码,要比较的文本似乎有一个模式
country_name + "guidances/regulations"
可以通过 spilt() 方法获取国家名称
>>> str = 'US guidances/regulations'
>>> myList = str.split(' ') //spilt by the space after the country name
>>> myList[0]
US
>>> myList[1]
guidances/regulations
然后比较仅国家名称
anotherStr = 'USA guidances/regulations'
anotherList = anotherStr.split(' ') //spilt by the space after the country name
ratio = fuzz.partial_ratio(myList[0].lower(), anotherList[0]())