python模糊字符串匹配库fuzzywuzzy用法及说明

pip install fuzzywuzzy

from fuzzywuzzy import fuzz

# 计算两个字符串的相似度
similarity = fuzz.ratio("apple", "appel")
print(similarity)  # 输出结果为 91

from fuzzywuzzy import process

# 模糊匹配多个字符串
choices = ["apple", "banana", "orange", "grape"]
matches = process.extract("appl", choices, limit=2)
print(matches)  # 输出结果为 [("apple", 100), ("apple", 100)]

from fuzzywuzzy import process

# 去除重复项
data = ["apple", "aple", "banana", "bananna"]
cleaned_data = list(set(process.dedupe(data)))
print(cleaned_data)  # 输出结果为 ["apple", "banana"]

from fuzzywuzzy import process

# 模糊搜索
documents = ["apple juice", "banana smoothie", "orange juice", "grape juice"]
query = "apple"
results = process.extract(query, documents, limit=2)
print(results)  # 输出结果为 [("apple juice", 100), ("banana smoothie", 36)]

from fuzzywuzzy import process

# 用户搜索关键词
search_query = "appl"

# 匹配搜索关键词
choices = ["apple", "banana", "orange", "grape"]
matches = process.extract(search_query, choices, limit=2)
print(matches)  # 输出结果为 [("apple", 100), ("apple", 100)]