我一直在寻找一个解决方案来去除字符串的面具，特别是从巴西的电话号码，这篇文章没有回答，但启发了我。这是我的解决方案:

>>> phone_number = '+55(11)8715-9877'
>>> ''.join([n for n in phone_number if n.isdigit()])
'551187159877'

使用下面的正则表达式是一种方法

lines = "hello 12 hi 89"
import re
output = []
#repl_str = re.compile('\d+.?\d*')
repl_str = re.compile('^\d+$')
#t = r'\d+.?\d*'
line = lines.split()
for word in line:
        match = re.search(repl_str, word)
        if match:
            output.append(float(match.group()))
print (output)

和findall Re.findall (r'\d+'， "hello 12 hi 89")

['12', '89']

re.findall(r'\b\d+\b'， "hello 12 hi 89 33F AC 777")

['12', '89', '777']

我将使用regexp:

>>> import re
>>> re.findall(r'\d+', "hello 42 I'm a 32 string 30")
['42', '32', '30']

这也匹配bla42bla中的42。如果你只想用单词边界(空格，句号，逗号)分隔数字，你可以使用\b:

>>> re.findall(r'\b\d+\b', "he33llo 42 I'm a 32 string 30")
['42', '32', '30']

以数字列表而不是字符串列表结束:

>>> [int(s) for s in re.findall(r'\b\d+\b', "he33llo 42 I'm a 32 string 30")]
[42, 32, 30]

注意:这对负整数不起作用

我假设你想要浮点数，而不仅仅是整数，所以我会这样做:

l = []
for t in s.split():
    try:
        l.append(float(t))
    except ValueError:
        pass

请注意，这里发布的其他一些解决方案不适用于负数:

>>> re.findall(r'\b\d+\b', 'he33llo 42 I\'m a 32 string -30')
['42', '32', '30']

>>> '-3'.isdigit()
False

此答案还包含数字在字符串中为浮点数的情况

def get_first_nbr_from_str(input_str):
    '''
    :param input_str: strings that contains digit and words
    :return: the number extracted from the input_str
    demo:
    'ab324.23.123xyz': 324.23
    '.5abc44': 0.5
    '''
    if not input_str and not isinstance(input_str, str):
        return 0
    out_number = ''
    for ele in input_str:
        if (ele == '.' and '.' not in out_number) or ele.isdigit():
            out_number += ele
        elif out_number:
            break
    return float(out_number)

我发现的最干净的方法是:

>>> data = 'hs122 125 &55,58, 25'
>>> new_data = ''.join((ch if ch in '0123456789.-e' else ' ') for ch in data)
>>> numbers = [i for i in new_data.split()]
>>> print(numbers)
['122', '125', '55', '58', '25']

或:

>>> import re
>>> data = 'hs122 125 &55,58, 25'
>>> numbers = re.findall(r'\d+', data)
>>> print(numbers)
['122', '125', '55', '58', '25']