Python:如何确定字符串中是否存在单词列表

时间:2014-02-12 04:00:37

标签: python regex

给定列表["one", "two", "three"],如何确定每个单词是否存在于指定的字符串中?

单词列表很短(在我的情况下少于20个单词),但要搜索的字符串非常庞大(每次运行400,000个字符串)

我目前的实现使用re来查找匹配项,但我不确定它是否是最好的方式。

import re
word_list = ["one", "two", "three"]
regex_string = "(?<=\W)(%s)(?=\W)" % "|".join(word_list)

finder = re.compile(regex_string)
string_to_be_searched = "one two three"

results = finder.findall(" %s " % string_to_be_searched)
result_set = set(results)
for word in word_list:
    if word in result_set:
        print("%s in string" % word)

我的解决方案中的问题:

  1. 虽然单词可能出现在字符串的前半部分
  2. ,但它会搜索到字符串的结尾
  3. 为了克服先行断言的限制(我不知道如何表达“当前匹配前的字符应该是非单词字符,或字符串的开头”),我在前后添加了额外的空格我需要搜索的字符串。
  4. 前瞻断言引入的其他性能问题?
  5. 可能更简单的实施:

    1. 只需遍历单词列表并执行if word in string_to_be_searched。但如果你正在寻找“三”,它就无法处理“三人”。
    2. 使用一个正则表达式搜索一个单词。我仍然不确定性能,以及多次搜索字符串的可能性。
    3. 更新

      我接受了Aaron Hall的回答https://stackoverflow.com/a/21718896/683321,因为根据Peter Gibson的基准https://stackoverflow.com/a/21742190/683321,这个简单的版本具有最佳性能。如果您对此问题感兴趣,可以阅读所有答案并获得更好的视图。

      实际上我忘记在原来的问题中提到另一个约束。该单词可以是短语,例如:word_list = ["one day", "second day"]。也许我应该问另一个问题。

10 个答案:

答案 0 :(得分:11)

Peter Gibson(下面)发现这个功能是这里最有效的答案。它可以保存在内存中的数据集(因为它会从要搜索的字符串中创建一个单词列表,然后是一组这些单词):

def words_in_string(word_list, a_string):
    return set(word_list).intersection(a_string.split())

用法:

my_word_list = ['one', 'two', 'three']
a_string = 'one two three'
if words_in_string(my_word_list, a_string):
    print('One or more words found!')

One or words found!打印到stdout。

返回找到的实际单词:

for word in words_in_string(my_word_list, a_string):
    print(word)

打印出来:

three
two
one

For data so large you can't hold it in memory, the solution given in this answer would be very performant.

答案 1 :(得分:5)

为了满足自己的好奇心,我定时发布了解决方案。结果如下:

TESTING: words_in_str_peter_gibson          0.207071995735
TESTING: words_in_str_devnull               0.55300579071
TESTING: words_in_str_perreal               0.159866499901
TESTING: words_in_str_mie                   Test #1 invalid result: None
TESTING: words_in_str_adsmith               0.11831510067
TESTING: words_in_str_gnibbler              0.175446796417
TESTING: words_in_string_aaron_hall         0.0834425926208
TESTING: words_in_string_aaron_hall2        0.0266295194626
TESTING: words_in_str_john_pirie            <does not complete>

有趣的是@AaronHall的解决方案

def words_in_string(word_list, a_string):
    return set(a_list).intersection(a_string.split())
这是最快的,也是最短的之一!请注意,它不会处理单词旁边的标点符号,但从问题是否是必需项中不清楚。 @MIE和@ user3也提出了这个解决方案。

为什么两个解决方案无效,我看起来并不长。如果这是我的错误,请道歉。这是测试,评论和代码的代码。欢迎更正

from __future__ import print_function
import re
import string
import random
words = ['one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine', 'ten']

def random_words(length):
    letters = ''.join(set(string.ascii_lowercase) - set(''.join(words))) + ' '
    return ''.join(random.choice(letters) for i in range(int(length)))

LENGTH = 400000
RANDOM_STR = random_words(LENGTH/100) * 100
TESTS = (
    (RANDOM_STR + ' one two three', (
        ['one', 'two', 'three'],
        set(['one', 'two', 'three']),
        False,
        [True] * 3 + [False] * 7,
        {'one': True, 'two': True, 'three': True, 'four': False, 'five': False, 'six': False,
            'seven': False, 'eight': False, 'nine': False, 'ten':False}
        )),

    (RANDOM_STR + ' one two three four five six seven eight nine ten', (
        ['one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine', 'ten'],
        set(['one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine', 'ten']),
        True,
        [True] * 10,
        {'one': True, 'two': True, 'three': True, 'four': True, 'five': True, 'six': True,
            'seven': True, 'eight': True, 'nine': True, 'ten':True}
        )),

    ('one two three ' + RANDOM_STR, (
        ['one', 'two', 'three'],
        set(['one', 'two', 'three']),
        False,
        [True] * 3 + [False] * 7,
        {'one': True, 'two': True, 'three': True, 'four': False, 'five': False, 'six': False,
            'seven': False, 'eight': False, 'nine': False, 'ten':False}
        )),

    (RANDOM_STR, (
        [],
        set(),
        False,
        [False] * 10,
        {'one': False, 'two': False, 'three': False, 'four': False, 'five': False, 'six': False,
            'seven': False, 'eight': False, 'nine': False, 'ten':False}
        )),

    (RANDOM_STR + ' one two three ' + RANDOM_STR, (
        ['one', 'two', 'three'],
        set(['one', 'two', 'three']),
        False,
        [True] * 3 + [False] * 7,
        {'one': True, 'two': True, 'three': True, 'four': False, 'five': False, 'six': False,
            'seven': False, 'eight': False, 'nine': False, 'ten':False}
        )),

    ('one ' + RANDOM_STR + ' two ' + RANDOM_STR + ' three', (
        ['one', 'two', 'three'],
        set(['one', 'two', 'three']),
        False,
        [True] * 3 + [False] * 7,
        {'one': True, 'two': True, 'three': True, 'four': False, 'five': False, 'six': False,
            'seven': False, 'eight': False, 'nine': False, 'ten':False}
        )),

    ('one ' + RANDOM_STR + ' two ' + RANDOM_STR + ' threesome', (
        ['one', 'two'],
        set(['one', 'two']),
        False,
        [True] * 2 + [False] * 8,
        {'one': True, 'two': True, 'three': False, 'four': False, 'five': False, 'six': False,
            'seven': False, 'eight': False, 'nine': False, 'ten':False}
        )),

    )

def words_in_str_peter_gibson(words, s):
    words = words[:]
    found = []
    for match in re.finditer('\w+', s):
        word = match.group()
        if word in words:
            found.append(word)
            words.remove(word)
            if len(words) == 0: break
    return found

def words_in_str_devnull(word_list, inp_str1):
    return dict((word, bool(re.search(r'\b{}\b'.format(re.escape(word)), inp_str1))) for word in word_list)


def words_in_str_perreal(wl, s):
    i, swl, strwords = 0, sorted(wl), sorted(s.split())
    for w in swl:
        while strwords[i] < w:  
            i += 1
            if i >= len(strwords): return False
        if w != strwords[i]: return False
    return True

def words_in_str_mie(search_list, string):
    lower_string=string.lower()
    if ' ' in lower_string:
        result=filter(lambda x:' '+x.lower()+' ' in lower_string,search_list)
        substr=lower_string[:lower_string.find(' ')]
        if substr in search_list and substr not in result:
            result+=substr
        substr=lower_string[lower_string.rfind(' ')+1:]
        if substr in search_list and substr not in result:
            result+=substr
    else:
        if lower_string in search_list:
            result=[lower_string]

def words_in_str_john_pirie(word_list, to_be_searched):
    for word in word_list:
        found = False
        while not found:
            offset = 0
            # Regex is expensive; use find
            index = to_be_searched.find(word, offset)
            if index < 0:
                # Not found
                break
            if index > 0 and to_be_searched[index - 1] != " ":
                # Found, but substring of a larger word; search rest of string beyond
                offset = index + len(word)
                continue
            if index + len(word) < len(to_be_searched) \
                    and to_be_searched[index + len(word)] != " ":
                # Found, but substring of larger word; search rest of string beyond
                offset = index + len(word)
                continue
            # Found exact word match
            found = True    
    return found

def words_in_str_gnibbler(words, string_to_be_searched):
    word_set = set(words)
    found = []
    for match in re.finditer(r"\w+", string_to_be_searched):
        w = match.group()
        if w in word_set:
             word_set.remove(w)
             found.append(w)
    return found

def words_in_str_adsmith(search_list, big_long_string):
    counter = 0
    for word in big_long_string.split(" "):
        if word in search_list: counter += 1
        if counter == len(search_list): return True
    return False

def words_in_string_aaron_hall(word_list, a_string):
    def words_in_string(word_list, a_string):
        '''return iterator of words in string as they are found'''
        word_set = set(word_list)
        pattern = r'\b({0})\b'.format('|'.join(word_list))
        for found_word in re.finditer(pattern, a_string):
            word = found_word.group(0)
            if word in word_set:
                word_set.discard(word)
                yield word
                if not word_set:
                    raise StopIteration
    return list(words_in_string(word_list, a_string))

def words_in_string_aaron_hall2(word_list, a_string):
    return set(word_list).intersection(a_string.split())

ALGORITHMS = (
        words_in_str_peter_gibson,
        words_in_str_devnull,
        words_in_str_perreal,
        words_in_str_mie,
        words_in_str_adsmith,
        words_in_str_gnibbler,
        words_in_string_aaron_hall,
        words_in_string_aaron_hall2,
        words_in_str_john_pirie,
        )

def test(alg):
    for i, (s, possible_results) in enumerate(TESTS):
        result = alg(words, s)
        assert result in possible_results, \
            'Test #%d invalid result: %s ' % (i+1, repr(result))

COUNT = 10
if __name__ == '__main__':
    import timeit
    for alg in ALGORITHMS:
        print('TESTING:', alg.__name__, end='\t\t')
        try:
            print(timeit.timeit(lambda: test(alg), number=COUNT)/COUNT)
        except Exception as e:
            print(e)

答案 2 :(得分:1)

def words_in_str(s, wl):
    i, swl, strwords = 0, sorted(wl), sorted(s.split())
    for w in swl:
        while strwords[i] < w:  
            i += 1
            if i >= len(strwords): return False
        if w != strwords[i]: return False
    return True

答案 3 :(得分:1)

你可以试试这个:

list(set(s.split()).intersection(set(w)))

它只返回单词列表中匹配的单词。如果没有匹配的单词,它将返回空列表。

答案 4 :(得分:0)

如果您的字符串很长且搜索列表很短,请执行以下操作:

def search_string(big_long_string,search_list)
    counter = 0
    for word in big_long_string.split(" "):
        if word in search_list: counter += 1
        if counter == len(search_list): return True
    return False

答案 5 :(得分:0)

简单方法:

filter(lambda x:x in string,search_list)

如果你想让搜索忽略字符的情况,你可以这样做:

lower_string=string.lower()
filter(lambda x:x.lower() in lower_string,search_list)

如果你想忽略大字的一部分,比如三人组中的三个:

lower_string=string.lower()
result=[]
if ' ' in lower_string:
    result=filter(lambda x:' '+x.lower()+' ' in lower_string,search_list)
    substr=lower_string[:lower_string.find(' ')]
    if substr in search_list and substr not in result:
        result+=[substr]
    substr=lower_string[lower_string.rfind(' ')+1:]
    if substr in search_list and substr not in result:
        result+=[substr]
else:
    if lower_string in search_list:
        result=[lower_string]

<小时/> 如果需要性能:

arr=string.split(' ')
result=list(set(arr).intersection(set(search_list)))

编辑:这个方法在一个示例中最快,在一个包含400,000个单词的字符串中搜索1,000个单词,但如果我们将字符串增加到4,000,000,则前一个方法更快。

<小时/> 如果字符串太长,您应该进行低级搜索并避免将其转换为列表:

def safe_remove(arr,elem):
    try:
        arr.remove(elem)
    except:
        pass

not_found=search_list[:]
i=string.find(' ')
j=string.find(' ',i+1)
safe_remove(not_found,string[:i])
while j!=-1:
    safe_remove(not_found,string[i+1:j])
    i,j=j,string.find(' ',j+1)
safe_remove(not_found,string[i+1:])

not_found列表包含未找到的字词,您可以轻松获取找到的列表,单向list(set(search_list)-set(not_found))

编辑:最后一种方法似乎是最慢的。

答案 6 :(得分:0)

您可以使用字边界:

>>> import re
>>> word_list = ["one", "two", "three"]
>>> inp_str = "This line not only contains one and two, but also three"
>>> if all(re.search(r'\b{}\b'.format(re.escape(word)), inp_str) for word in word_list):
...   print "Found all words in the list"
...
Found all words in the list
>>> inp_str = "This line not only contains one and two, but also threesome"
>>> if all(re.search(r'\b{}\b'.format(re.escape(word)), inp_str) for word in word_list):
...   print "Found all words in the list"
...
>>> inp_str = "This line not only contains one and two, but also four"
>>> if all(re.search(r'\b{}\b'.format(re.escape(word)), inp_str) for word in word_list):
...   print "Found all words in the list"
...
>>>

编辑:正如您的评论所示,您似乎正在寻找字典:

>>> dict((word, bool(re.search(r'\b{}\b'.format(re.escape(word)), inp_str1))) for word in word_list)
{'three': True, 'two': True, 'one': True}
>>> dict((word, bool(re.search(r'\b{}\b'.format(re.escape(word)), inp_str2))) for word in word_list)
{'three': False, 'two': True, 'one': True}
>>> dict((word, bool(re.search(r'\b{}\b'.format(re.escape(word)), inp_str3))) for word in word_list)
{'three': False, 'two': True, 'one': True}

答案 7 :(得分:0)

如果订单不太重要,您可以使用此方法

word_set = {"one", "two", "three"}
string_to_be_searched = "one two three"

for w in string_to_be_searched.split():
    if w in word_set:
         print("%s in string" % w)
         word_set.remove(w)

.split()会创建一个列表,可能成为您的400k字符串的问题。但如果你有足够的内存,你就完成了。

当然可以修改for循环以避免创建整个列表。 re.finditer或使用str.find的生成器是显而易见的选择

import re
word_set = {"one", "two", "three"}
string_to_be_searched = "one two three"

for match in re.finditer(r"\w+", string_to_be_searched):
    w = match.group()
    if w in word_set:
         print("%s in string" % w)
         word_set.remove(w)

答案 8 :(得分:0)

鉴于你的评论

  

我实际上并没有找到一个bool值,而是我正在寻找   用于将字词映射到bool的字典。此外,我可能需要进行一些测试   并查看多次运行re.search并运行的性能   re.findall一次。 - yegle

我建议以下

import re
words = ['one', 'two', 'three']

def words_in_str(words, s):
    words = words[:]
    found = []
    for match in re.finditer('\w+', s):
        word = match.group()
        if word in words:
            found.append(word)
            words.remove(word)
            if len(words) == 0: break
    return found

assert words_in_str(words, 'three two one') == ['three', 'two', 'one']
assert words_in_str(words, 'one two. threesome') == ['one', 'two']
assert words_in_str(words, 'nothing of interest here one1') == []

这将返回按顺序找到的单词列表,但您可以轻松修改它以根据需要返回dict{word:bool}

优点:

  • 在找到所有单词后停止搜索输入字符串
  • 找到一个单词形式的候选人

答案 9 :(得分:0)

这是一个简单的生成器,对于大字符串或文件更好,因为我在下面的部分中进行了修改。

请注意,这应该非常快,但只要字符串继续而不击中所有单词,它将继续。在Peter Gibson的基准测试中排在第二位:Python: how to determine if a list of words exist in a string

要获得更快的短字符串解决方案,请参阅我的其他答案:Python: how to determine if a list of words exist in a string


原始答案

import re

def words_in_string(word_list, a_string):
    '''return iterator of words in string as they are found'''
    word_set = set(word_list)
    pattern = r'\b({0})\b'.format('|'.join(word_list))
    for found_word in re.finditer(pattern, a_string):
        word = found_word.group(0)
        if word in word_set:
            word_set.discard(word)
            yield word
            if not word_set: # then we've found all words
                # break out of generator, closing file
                raise StopIteration 

它通过字符串产生找到它们的单词,在找到所有单词后放弃搜索,或者如果它到达字符串的末尾。

用法:

word_list = ['word', 'foo', 'bar']
a_string = 'A very pleasant word to you.'
for word in words_in_string(word_list, a_string):
    print word

word

编辑:适用于大文件:

感谢Peter Gibson发现这是第二快的方法。我为解决方案感到自豪。由于最好的用例是通过一个巨大的文本流,让我在这里调整上述函数来处理文件。请注意,如果单词在换行符上被破坏,则不会捕获它们,但这里的任何其他方法都不会。但

import re

def words_in_file(word_list, a_file_path):
    '''
    return a memory friendly iterator of words as they are found
    in a file.
    '''
    word_set = set(word_list)
    pattern = r'\b({0})\b'.format('|'.join(word_list))
    with open(a_file_path, 'rU') as a_file:
        for line in a_file:
            for found_word in re.finditer(pattern, line):
                word = found_word.group(0)
                if word in word_set:
                    word_set.discard(word)
                    yield word
                    if not word_set: # then we've found all words
                        # break out of generator, closing file
                        raise StopIteration

为了演示,让我们写一些数据:

file_path = '/temp/temp/foo.txt'
with open(file_path, 'w') as f:
    f.write('this\nis\nimportant\ndata')

和用法:

word_list = ['this', 'is', 'important']
iterator = words_in_file(word_list, file_path)

我们现在有一个迭代器,如果我们用列表来消费它:

list(iterator)

它返回:

['this', 'is', 'important']