使用Python从字符串中剥离所有非字母数字字符的最佳方法是什么?

在这个问题的PHP变体中提出的解决方案可能会进行一些小的调整,但对我来说似乎不太“python化”。

声明一下,我不只是想去掉句号和逗号(以及其他标点符号),还想去掉引号、括号等。


当前回答

如何:

def ExtractAlphanumeric(InputString):
    from string import ascii_letters, digits
    return "".join([ch for ch in InputString if ch in (ascii_letters + digits)])

如果InputString中的字符存在于ascii_letters和digits的组合字符串中,则可以使用列表推导来生成InputString中的字符列表。然后它将列表连接在一起,形成一个字符串。

其他回答

使用ASCII可打印文件的随机字符串计时:

from inspect import getsource
from random import sample
import re
from string import printable
from timeit import timeit

pattern_single = re.compile(r'[\W]')
pattern_repeat = re.compile(r'[\W]+')
translation_tb = str.maketrans('', '', ''.join(c for c in map(chr, range(256)) if not c.isalnum()))


def generate_test_string(length):
    return ''.join(sample(printable, length))


def main():
    for i in range(0, 60, 10):
        for test in [
            lambda: ''.join(c for c in generate_test_string(i) if c.isalnum()),
            lambda: ''.join(filter(str.isalnum, generate_test_string(i))),
            lambda: re.sub(r'[\W]', '', generate_test_string(i)),
            lambda: re.sub(r'[\W]+', '', generate_test_string(i)),
            lambda: pattern_single.sub('', generate_test_string(i)),
            lambda: pattern_repeat.sub('', generate_test_string(i)),
            lambda: generate_test_string(i).translate(translation_tb),

        ]:
            print(timeit(test), i, getsource(test).lstrip('            lambda: ').rstrip(',\n'), sep='\t')


if __name__ == '__main__':
    main()

结果(Python 3.7):

       Time       Length                           Code                           
6.3716264850008880  00  ''.join(c for c in generate_test_string(i) if c.isalnum())
5.7285426190064750  00  ''.join(filter(str.isalnum, generate_test_string(i)))
8.1875841680011940  00  re.sub(r'[\W]', '', generate_test_string(i))
8.0002205439959650  00  re.sub(r'[\W]+', '', generate_test_string(i))
5.5290945199958510  00  pattern_single.sub('', generate_test_string(i))
5.4417179649972240  00  pattern_repeat.sub('', generate_test_string(i))
4.6772285089973590  00  generate_test_string(i).translate(translation_tb)
23.574712151996210  10  ''.join(c for c in generate_test_string(i) if c.isalnum())
22.829975890002970  10  ''.join(filter(str.isalnum, generate_test_string(i)))
27.210196289997840  10  re.sub(r'[\W]', '', generate_test_string(i))
27.203713296003116  10  re.sub(r'[\W]+', '', generate_test_string(i))
24.008979928999906  10  pattern_single.sub('', generate_test_string(i))
23.945240008994006  10  pattern_repeat.sub('', generate_test_string(i))
21.830899796994345  10  generate_test_string(i).translate(translation_tb)
38.731336012999236  20  ''.join(c for c in generate_test_string(i) if c.isalnum())
37.942474347000825  20  ''.join(filter(str.isalnum, generate_test_string(i)))
42.169366310001350  20  re.sub(r'[\W]', '', generate_test_string(i))
41.933375883003464  20  re.sub(r'[\W]+', '', generate_test_string(i))
38.899814646996674  20  pattern_single.sub('', generate_test_string(i))
38.636144253003295  20  pattern_repeat.sub('', generate_test_string(i))
36.201238164998360  20  generate_test_string(i).translate(translation_tb)
49.377356811004574  30  ''.join(c for c in generate_test_string(i) if c.isalnum())
48.408927293996385  30  ''.join(filter(str.isalnum, generate_test_string(i)))
53.901889764994850  30  re.sub(r'[\W]', '', generate_test_string(i))
52.130339455994545  30  re.sub(r'[\W]+', '', generate_test_string(i))
50.061149017004940  30  pattern_single.sub('', generate_test_string(i))
49.366573111998150  30  pattern_repeat.sub('', generate_test_string(i))
46.649754120997386  30  generate_test_string(i).translate(translation_tb)
63.107938601999194  40  ''.join(c for c in generate_test_string(i) if c.isalnum())
65.116287978999030  40  ''.join(filter(str.isalnum, generate_test_string(i)))
71.477421126997800  40  re.sub(r'[\W]', '', generate_test_string(i))
66.027950693998720  40  re.sub(r'[\W]+', '', generate_test_string(i))
63.315361931003280  40  pattern_single.sub('', generate_test_string(i))
62.342320287003530  40  pattern_repeat.sub('', generate_test_string(i))
58.249303059004890  40  generate_test_string(i).translate(translation_tb)
73.810345625002810  50  ''.join(c for c in generate_test_string(i) if c.isalnum())
72.593953348005020  50  ''.join(filter(str.isalnum, generate_test_string(i)))
76.048324580995540  50  re.sub(r'[\W]', '', generate_test_string(i))
75.106637657001560  50  re.sub(r'[\W]+', '', generate_test_string(i))
74.681338128997600  50  pattern_single.sub('', generate_test_string(i))
72.430461594005460  50  pattern_repeat.sub('', generate_test_string(i))
69.394243567003290  50  generate_test_string(i).translate(translation_tb)

str.maketrans & str.translate是最快的,但包括所有非ascii字符。 重新编译&模式。Sub较慢,但不知何故比"快。加入&过滤。

如何:

def ExtractAlphanumeric(InputString):
    from string import ascii_letters, digits
    return "".join([ch for ch in InputString if ch in (ascii_letters + digits)])

如果InputString中的字符存在于ascii_letters和digits的组合字符串中,则可以使用列表推导来生成InputString中的字符列表。然后它将列表连接在一起,形成一个字符串。

for char in my_string:
    if not char.isalnum():
        my_string = my_string.replace(char,"")

我用perfplot(我的一个项目)检查了结果,发现对于短字符串,

"".join(filter(str.isalnum, s))

是最快的。对于长字符串(200+字符)

re.sub("[\W_]", "", s)

是最快的。

代码重现情节:

import perfplot
import random
import re
import string

pattern = re.compile("[\W_]+")


def setup(n):
    return "".join(random.choices(string.ascii_letters + string.digits, k=n))


def string_alphanum(s):
    return "".join(ch for ch in s if ch.isalnum())


def filter_str(s):
    return "".join(filter(str.isalnum, s))


def re_sub1(s):
    return re.sub("[\W_]", "", s)


def re_sub2(s):
    return re.sub("[\W_]+", "", s)


def re_sub3(s):
    return pattern.sub("", s)


b = perfplot.bench(
    setup=setup,
    kernels=[string_alphanum, filter_str, re_sub1, re_sub2, re_sub3],
    n_range=[2**k for k in range(10)],
)
b.save("out.png")
b.show()

使用str.translate()方法。

假设你会经常这样做:

一次,创建一个包含所有你想删除的字符的字符串: Delchars = "。Join (c for c in map(chr, range(256)) if not c.isalnum()) 当你想要挤压字符串时: scrunched = s.translate(无,delchars)

安装成本可能比re.compile更有利;边际成本更低:

C:\junk>\python26\python -mtimeit -s"import string;d=''.join(c for c in map(chr,range(256)) if not c.isalnum());s=string.printable" "s.translate(None,d)"
100000 loops, best of 3: 2.04 usec per loop

C:\junk>\python26\python -mtimeit -s"import re,string;s=string.printable;r=re.compile(r'[\W_]+')" "r.sub('',s)"
100000 loops, best of 3: 7.34 usec per loop

注意:使用字符串。可打印作为基准数据给模式'[\W_]+'一个不公平的优势;所有的非字母数字字符都在一堆…在典型的数据中,会有不止一个替换:

C:\junk>\python26\python -c "import string; s = string.printable; print len(s),repr(s)"
100 '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!"#$%&\'()*+,-./:;=>?@[\\]^_`{|}~ \t\n\r\x0b\x0c'

如果你给re.sub更多的工作,会发生什么:

C:\junk>\python26\python -mtimeit -s"d=''.join(c for c in map(chr,range(256)) if not c.isalnum());s='foo-'*25" "s.translate(None,d)"
1000000 loops, best of 3: 1.97 usec per loop

C:\junk>\python26\python -mtimeit -s"import re;s='foo-'*25;r=re.compile(r'[\W_]+')" "r.sub('',s)"
10000 loops, best of 3: 26.4 usec per loop