递归分割: s =字符串;Chars =要删除的字符

def strip(s,chars):
if len(s)==1:
    return "" if s in chars else s
return strip(s[0:int(len(s)/2)],chars) +  strip(s[int(len(s)/2):len(s)],chars)

例子:

print(strip("Hello!","lo"))    #He!

如果你想让你的字符串只允许使用ASCII码，你可以使用这段代码:

for char in s:
    if ord(char) < 96 or ord(char) > 123:
        s = s.replace(char, "")

它将删除....以外的所有字符Z是大写的。

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

这里有一些可能的方法来完成这个任务:

def attempt1(string):
    return "".join([v for v in string if v not in ("a", "e", "i", "o", "u")])


def attempt2(string):
    for v in ("a", "e", "i", "o", "u"):
        string = string.replace(v, "")
    return string


def attempt3(string):
    import re
    for v in ("a", "e", "i", "o", "u"):
        string = re.sub(v, "", string)
    return string


def attempt4(string):
    return string.replace("a", "").replace("e", "").replace("i", "").replace("o", "").replace("u", "")


for attempt in [attempt1, attempt2, attempt3, attempt4]:
    print(attempt("murcielago"))

附注:在使用" ?.!/;:"的例子中使用元音…是的，“murcielago”在西班牙语里是蝙蝠的意思…有趣的单词，因为它包含了所有的元音:)

PS2:如果你对性能感兴趣，你可以用一个简单的代码来衡量这些尝试:

import timeit


K = 1000000
for i in range(1,5):
    t = timeit.Timer(
        f"attempt{i}('murcielago')",
        setup=f"from __main__ import attempt{i}"
    ).repeat(1, K)
    print(f"attempt{i}",min(t))

在我的盒子里，你会得到:

attempt1 2.2334518376057244
attempt2 1.8806643818474513
attempt3 7.214925774955572
attempt4 1.7271184513757465

因此，对于这个特定的输入，尝试4似乎是最快的。

字符串方法replace不会修改原始字符串。它保留原始文件并返回修改后的副本。

你需要的是这样的:line = line.replace(char， ")

def replace_all(line, )for char in line:
    if char in " ?.!/;:":
        line = line.replace(char,'')
    return line

然而，每次删除一个字符都创建一个新的字符串是非常低效的。我推荐以下方法:

def replace_all(line, baddies, *):
    """
    The following is documentation on how to use the class,
    without reference to the implementation details:

    For implementation notes, please see comments begining with `#`
    in the source file.

    [*crickets chirp*]

    """

    is_bad = lambda ch, baddies=baddies: return ch in baddies
    filter_baddies = lambda ch, *, is_bad=is_bad: "" if is_bad(ch) else ch
    mahp = replace_all.map(filter_baddies, line)
    return replace_all.join('', join(mahp))

    # -------------------------------------------------
    # WHY `baddies=baddies`?!?
    #     `is_bad=is_bad`
    # -------------------------------------------------
    # Default arguments to a lambda function are evaluated
    # at the same time as when a lambda function is
    # **defined**.
    #
    # global variables of a lambda function
    # are evaluated when the lambda function is
    # **called**
    #
    # The following prints "as yellow as snow"
    #
    #     fleece_color = "white"
    #     little_lamb = lambda end: return "as " + fleece_color + end
    #
    #     # sometime later...
    #
    #     fleece_color = "yellow"
    #     print(little_lamb(" as snow"))
    # --------------------------------------------------
replace_all.map = map
replace_all.join = str.join

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