在Python 3.5中

例如,

os.rename(file_name, file_name.translate({ord(c): None for c in '0123456789'}))

从字符串中删除所有数字

下面一个. .没有使用正则表达式的概念..

ipstring ="text with symbols!@#$^&*( ends here"
opstring=''
for i in ipstring:
    if i.isalnum()==1 or i==' ':
        opstring+=i
    pass
print opstring

这是我的Python 2/3兼容版本。因为翻译api已经改变了。

def remove(str_, chars):
    """Removes each char in `chars` from `str_`.

    Args:
        str_: String to remove characters from
        chars: String of to-be removed characters

    Returns:
        A copy of str_ with `chars` removed

    Example:
            remove("What?!?: darn;", " ?.!:;") => 'Whatdarn'
    """
    try:
        # Python2.x
        return str_.translate(None, chars)
    except TypeError:
        # Python 3.x
        table = {ord(char): None for char in chars}
        return str_.translate(table)

即使是下面的方法也是有效的

line = "a,b,c,d,e"
alpha = list(line)
        while ',' in alpha:
            alpha.remove(',')
finalString = ''.join(alpha)
print(finalString)

输出:中的

您还可以使用函数来替换不同类型的正则表达式或使用列表的其他模式。这样，您就可以混合正则表达式、字符类和真正基本的文本模式。当您需要替换大量元素(如HTML元素)时，它非常有用。

*注意:适用于Python 3.x

import re  # Regular expression library


def string_cleanup(x, notwanted):
    for item in notwanted:
        x = re.sub(item, '', x)
    return x

line = "<title>My example: <strong>A text %very% $clean!!</strong></title>"
print("Uncleaned: ", line)

# Get rid of html elements
html_elements = ["<title>", "</title>", "<strong>", "</strong>"]
line = string_cleanup(line, html_elements)
print("1st clean: ", line)

# Get rid of special characters
special_chars = ["[!@#$]", "%"]
line = string_cleanup(line, special_chars)
print("2nd clean: ", line)

在函数string_cleanup中，它以字符串x和未修饰的列表作为参数。对于元素或模式列表中的每一项，如果需要替代品，就会进行替换。

输出:

Uncleaned:  <title>My example: <strong>A text %very% $clean!!</strong></title>
1st clean:  My example: A text %very% $clean!!
2nd clean:  My example: A text very clean

试试这个:

def rm_char(original_str, need2rm):
    ''' Remove charecters in "need2rm" from "original_str" '''
    return original_str.translate(str.maketrans('','',need2rm))

这个方法在python3中很有效