function regexFuntion(st) {
  const regx = /[^\w\s]/gi; // allow : [a-zA-Z0-9, space]
  st = st.replace(regx, ''); // remove all data without [a-zA-Z0-9, space]
  st = st.replace(/\s\s+/g, ' '); // remove multiple space

  return st;
}

console.log(regexFuntion('$Hello; # -world--78asdf+-===asdflkj******lkjasdfj67;'));
// Output: Hello world78asdfasdflkjlkjasdfj67

最通用的方法是使用unicodedata表的“类别”，它对每个字符进行分类。例如，下面的代码只过滤基于类别的可打印字符:

import unicodedata
# strip of crap characters (based on the Unicode database
# categorization:
# http://www.sql-und-xml.de/unicode-database/#kategorien

PRINTABLE = set(('Lu', 'Ll', 'Nd', 'Zs'))

def filter_non_printable(s):
    result = []
    ws_last = False
    for c in s:
        c = unicodedata.category(c) in PRINTABLE and c or u'#'
        result.append(c)
    return u''.join(result).replace(u'#', u' ')

查看上面给出的所有相关类别的URL。当然你也可以过滤 按标点符号分类。

较短的方法:

import re
cleanString = re.sub('\W+','', string )

如果你想在单词和数字之间有空格，用''代替''

import re
my_string = """Strings are amongst the most popular data types in Python. We can create the strings by enclosing characters in quotes. Python treats single quotes the 

和双引号一样。”＂＂

# if we need to count the word python that ends with or without ',' or '.' at end

count = 0
for i in text:
    if i.endswith("."):
        text[count] = re.sub("^([a-z]+)(.)?$", r"\1", i)
    count += 1
print("The count of Python : ", text.count("python"))

Python 2 . *

我认为只要filter(str。Isalnum，字符串)工作

In [20]: filter(str.isalnum, 'string with special chars like !,#$% etcs.')
Out[20]: 'stringwithspecialcharslikeetcs'

Python 3。*

在Python3中，filter()函数将返回一个可迭代对象(而不是与上面不同的字符串)。从itertable中获取字符串必须返回连接:

''.join(filter(str.isalnum, string)) 

或者在连接中传递列表(不确定，但可以快一点)

''.join([*filter(str.isalnum, string)])

注意:unpacking in [*args] valid from Python >= 3.5

这将删除字符串中的所有特殊字符、标点符号和空格，只包含数字和字母。

import re

sample_str = "Hel&&lo %% Wo$#rl@d"

# using isalnum()
print("".join(k for k in sample_str if k.isalnum()))


# using regex
op2 = re.sub("[^A-Za-z]", "", sample_str)
print(f"op2 = ", op2)


special_char_list = ["$", "@", "#", "&", "%"]

# using list comprehension
op1 = "".join([k for k in sample_str if k not in special_char_list])
print(f"op1 = ", op1)


# using lambda function
op3 = "".join(filter(lambda x: x not in special_char_list, sample_str))
print(f"op3 = ", op3)