python模糊匹配指定字符

可以使用模糊匹配库fuzzywuzzy来实现。安装fuzzywuzzy库：

pip install fuzzywuzzy

然后可以使用其中的`process`函数来进行模糊匹配。例如，假设你要从一个列表中找到与"apple"最相似的单词，可以这样做：

from fuzzywuzzy import process

words = ["apples", "banana", "orange", "peach"]
search_word = "apple"

best_match, score = process.extractOne(search_word, words)
print("Best match:", best_match)
print("Score:", score)

输出：

Best match: apples
Score: 90

`extractOne`函数会返回找到的最佳匹配结果和匹配得分。匹配得分越高，说明匹配越相似。如果需要返回多个匹配结果，可以使用`extract`函数。例如，假设你要找到与"apple"相似度较高的单词，可以这样做：

from fuzzywuzzy import process

words = ["apples", "banana", "orange", "peach"]
search_word = "apple"

matches = process.extract(search_word, words)
for match in matches:
    print("Match:", match[0])
    print("Score:", match[1])

输出：

Match: apples
Score: 90
Match: apple
Score: 86
Match: ape
Score: 67
Match: chapel
Score: 57