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)

@jmnas，我喜欢你的答案，但它没有找到浮动。我正在编写一个脚本来解析前往CNC铣床的代码，需要找到可以是整数或浮点数的X和Y维度，所以我将您的代码改编为以下内容。这就找到了int, float值为正和负。仍然没有找到十六进制格式的值，但你可以添加“x”和“A”通过“F”到num_char元组，我认为它会解析像“0x23AC”这样的东西。

s = 'hello X42 I\'m a Y-32.35 string Z30'
xy = ("X", "Y")
num_char = (".", "+", "-")

l = []

tokens = s.split()
for token in tokens:

    if token.startswith(xy):
        num = ""
        for char in token:
            # print(char)
            if char.isdigit() or (char in num_char):
                num = num + char

        try:
            l.append(float(num))
        except ValueError:
            pass

print(l)

对于电话号码，您可以在regex中排除所有带\D的非数字字符:

import re

phone_number = "(619) 459-3635"
phone_number = re.sub(r"\D", "", phone_number)
print(phone_number)

r"\D"中的r代表原始字符串。这是必要的。如果没有它，Python将把\D视为转义字符。

我找到的最佳选择如下。它将提取一个数字，并可以消除任何类型的字符。

def extract_nbr(input_str):
    if input_str is None or input_str == '':
        return 0

    out_number = ''
    for ele in input_str:
        if ele.isdigit():
            out_number += ele
    return float(out_number)    

# extract numbers from garbage string:
s = '12//n,_@#$%3.14kjlw0xdadfackvj1.6e-19&*ghn334'
newstr = ''.join((ch if ch in '0123456789.-e' else ' ') for ch in s)
listOfNumbers = [float(i) for i in newstr.split()]
print(listOfNumbers)
[12.0, 3.14, 0.0, 1.6e-19, 334.0]

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']