从字符串中删除多个子字符串的最有效方法? [英] Most efficient way to remove multiple substrings from string?
问题描述
从字符串中删除子字符串列表最有效的方法是什么?
我想要一种更简洁、更快捷的方法来执行以下操作:
words = 'word1 word2 word3 word4, word5'replace_list = ['word1', 'word3', 'word5']def remove_multiple_strings(cur_string, replace_list):对于 replace_list 中的 cur_word:cur_string = cur_string.replace(cur_word, '')返回cur_stringremove_multiple_strings(单词,replace_list)
Regex:
<预><代码>>>>进口重新>>>re.sub(r'|'.join(map(re.escape, replace_list)), '', words)' word2 word4, '上面的单行代码实际上没有你的 string.replace
版本快,但肯定更短:
天哪!几乎慢了 12 倍.
但是我们可以改进它吗?是的.
因为我们只关心单词,所以我们可以做的是简单地使用 \w+
从 words
字符串中过滤掉单词,并将其与一组 进行比较replace_list
(是一个实际的set
:set(replace_list)
):
对于更大的字符串和单词,string.replace
方法和我的第一个解决方案最终将花费二次时间,但该解决方案应该在线性时间内运行.
What's the most efficient method to remove a list of substrings from a string?
I'd like a cleaner, quicker way to do the following:
words = 'word1 word2 word3 word4, word5'
replace_list = ['word1', 'word3', 'word5']
def remove_multiple_strings(cur_string, replace_list):
for cur_word in replace_list:
cur_string = cur_string.replace(cur_word, '')
return cur_string
remove_multiple_strings(words, replace_list)
Regex:
>>> import re
>>> re.sub(r'|'.join(map(re.escape, replace_list)), '', words)
' word2 word4, '
The above one-liner is actually not as fast as your string.replace
version, but definitely shorter:
>>> words = ' '.join([hashlib.sha1(str(random.random())).hexdigest()[:10] for _ in xrange(10000)])
>>> replace_list = words.split()[:1000]
>>> random.shuffle(replace_list)
>>> %timeit remove_multiple_strings(words, replace_list)
10 loops, best of 3: 49.4 ms per loop
>>> %timeit re.sub(r'|'.join(map(re.escape, replace_list)), '', words)
1 loops, best of 3: 623 ms per loop
Gosh! Almost 12x slower.
But can we improve it? Yes.
As we are only concerned with words what we can do is simply filter out words from the words
string using \w+
and compare it against a set of replace_list
(yes an actual set
: set(replace_list)
):
>>> def sub(m):
return '' if m.group() in s else m.group()
>>> %%timeit
s = set(replace_list)
re.sub(r'\w+', sub, words)
...
100 loops, best of 3: 7.8 ms per loop
For even larger string and words the string.replace
approach and my first solution will end up taking quadratic time, but the solution should run in linear time.
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