我编写的代码可以满足我的需求:
import re
syns = ['professionals|experts|specialists|pros', 'repayed|payed back', 'ridiculous|absurd|preposterous', 'salient|prominent|significant' ]
new_syns = ['repayed|payed back', 'ridiculous|crazy|stupid', 'salient|prominent|significant', 'winter-time|winter|winter season', 'professionals|pros']
def pipe1(syn):
# Find first word/phrase in list element up to and including the 1st pipe
r = r'.*?\|'
m = re.match(r, syn)
m = m.group()
return m
def find_non_match():
# Compare 'new_syns' with 'syns' and create new list from non-matches in 'new_syns'
p = '@#&' # Place holder created
joined = p.join(syns)
joined = p + joined # Adds place holder to beginning of string too
non_match = []
for syn in new_syns:
m = pipe1(syn)
m = p + m
if m not in joined:
non_match.append(syn)
return non_match
print find_non_match()
印刷输出:
['winter-time|winter|winter season']
代码检查new_syns
中每个元素的单词/短语是否与syns
列表中的相同部分匹配相匹配。代码的目的是实际找到不匹配,然后将它们附加到一个名为non_match
的新列表中。
然而,我很想知道是否有可能实现相同的目的,但使用列表理解的行数要少得多。我试过了,但我没有得到我想要的东西。这是我到目前为止所提出的:
import re
syns = ['professionals|experts|specialists|pros', 'repayed|payed back', 'ridiculous|absurd|preposterous', 'salient|prominent|significant' ]
new_syns = ['repayed|payed back', 'ridiculous|crazy|stupid', 'salient|prominent|significant', 'winter-time|winter|winter season', 'professionals|pros']
def pipe1(syn):
# Find first word/phrase in list element up to and including the 1st pipe
r = r'.*?\|'
m = re.match(r, syn)
m = '@#&' + m.group() # Add unusual symbol combo to creatte match for beginning of element
return m
non_match = [i for i in new_syns if pipe1(i) not in '@#&'.join(syns)]
print non_match
印刷输出:
['winter-time|winter|winter season', 'professionals|pros'] # I don't want 'professionals|pros' in the list
列表理解中的警告是,当syns
加入@#&
时,我在现在加入的字符串的开头没有@#&
,而在原始代码中上面不使用列表推导我将@#&
添加到连接字符串的开头。结果是'professionals|pros'
已经通过网络滑落。但我不知道如何在列表理解中解决这个问题。
所以我的问题是“这可能与列表理解有关吗?”。
答案 0 :(得分:1)
我想你想要这样的东西:
non_match = [i for i in new_syns if not any(any(w == s.split("|")[0]
for w in i.split("|"))
for s in syns)]
这不使用正则表达式,但会给出结果
non_match == ['winter-time|winter|winter season']
该列表包含来自new_syns
的所有项目,not any
- '|'
中没有w
个单词any
位于第一个单词的split("|")[0]
中来自s
syns
{{1}}}