我正在尝试用另一个列表中的字符串替换一个列表中的字符串。你知道吗
strlist = ['D-astroid 3-cyclone', 'DL-astroid 3-cyclone', 'DL-astroid', 'D-comment', 'satellite']
to_match = ['astroid 3-cyclone', 'D-comment', 'D-astroid']
预期产量:
str_list = ['astroid 3-cyclone', 'astroid 3-cyclone', 'D-astroid', 'D-comment', 'satellite']
并输出包含映射的字典
dict =
{'astroid 3-cyclone':['astroid 3-cyclone', 'astroid 3-cyclone'],
'D-comment':'D-comment',
'D-astroid':'DL-astroid',
}
我试图用difflib
为一个测试用例实现它
from difflib import SequenceMatcher
from pprint import pprint
def similar(a, b):
return SequenceMatcher(None, a, b).ratio()
strlist = ['D-astroid 3-cyclone', 'DL-astroid 3-cyclone', 'DL-astroid', 'D-comment']
to_match = ['astroid 3-cyclone', 'D-comment', 'D-astroid']
similarity = similar('DL-astroid', 'astroid 3-cyclone')
pprint(similarity)
基本上,如果存在高于0.9或0.85的相似性匹配,strlist
中的字符串必须替换为to_match
列表中的字符串。可以使用两个for
循环来检查strlist
中的项与to_match
中的项是否具有较高的相似度(>;0.9)。我不确定这是否是一个有效的实施方式。你知道吗
有什么建议吗?你知道吗
编辑:我的尝试,我不知道如何创建字典,虽然。你知道吗
from difflib import SequenceMatcher
from pprint import pprint
def similar(a, to_match):
percent_similarity = [SequenceMatcher(None, a, b).ratio() for b in to_match]
max_value_index = [i for i, j in enumerate(percent_similarity) if j == max(percent_similarity)][0]
map = [to_match[max_value_index] if max(percent_similarity) > 0.9 else a][0]
return map
strlist = ['D-saturn 6-pluto', 'D-astroid 3-cyclone', 'DL-astroid 3-cyclone', 'DL-astroid', 'D-comment', 'literal']
to_match = ['saturn 6-pluto', 'pluto', 'astroid 3-cyclone', 'D-comment', 'D-astroid']
map = [similar(item, to_match) for item in strlist]
pprint(map)
您可以从第二个列表创建字典并将其应用于第一个列表:
输出:
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