我是Unix哲学“只做一件事并把它做好”的忠实粉丝。捕获用户输入并验证它是两个独立的步骤:

使用get_input提示用户输入，直到输入成功 使用可以传递给get_input的验证器函数进行验证

它可以保持简单如(Python 3.8+，使用walrus操作符):

def get_input(
    prompt="Enter a value: ",
    validator=lambda x: True,
    error_message="Invalid input. Please try again.",
):
    while not validator(value := input(prompt)):
        print(error_message)
    return value

def is_positive_int(value):
    try:
        return int(value) >= 0
    except ValueError:
        return False

if __name__ == "__main__":
    val = get_input("Give a positive number: ", is_positive_int)
    print(f"OK, thanks for {val}")

示例运行:

Give a positive number: -5
Invalid input. Please try again.
Give a positive number: asdf
Invalid input. Please try again.
Give a positive number:
Invalid input. Please try again.
Give a positive number: 42
OK, thanks for 42

---

在Python < 3.8中，你可以像这样使用get_input:

def get_input(
    prompt="Enter a value: ",
    validator=lambda x: True,
    error_message="Invalid input. Please try again.",
):
    while True:
        value = input(prompt)
        if validator(value):
            return value
        print(error_message)

您还可以在终止应用程序之前处理KeyboardInterrupt并打印友好的退出消息。如果需要，可以使用计数器限制允许的重试次数。

为什么你要做一个while True，然后跳出这个循环，而你也可以把你的要求放在while语句中因为你想要的是一旦你有了年龄就停止?

age = None
while age is None:
    input_value = input("Please enter your age: ")
    try:
        # try and convert the string input to a number
        age = int(input_value)
    except ValueError:
        # tell the user off
        print("{input} is not a number, please enter a number only".format(input=input_value))
if age >= 18:
    print("You are able to vote in the United States!")
else:
    print("You are not able to vote in the United States.")

这将导致以下结果:

Please enter your age: *potato*
potato is not a number, please enter a number only
Please enter your age: *5*
You are not able to vote in the United States.

这是可行的，因为年龄永远不会有一个没有意义的值，代码遵循“业务流程”的逻辑。

函数方法或“看，妈妈，没有循环!”：

from itertools import chain, repeat

prompts = chain(["Enter a number: "], repeat("Not a number! Try again: "))
replies = map(input, prompts)
valid_response = next(filter(str.isdigit, replies))
print(valid_response)

Enter a number:  a
Not a number! Try again:  b
Not a number! Try again:  1
1

或者如果你想有一个“错误输入”的消息从输入提示符中分离出来，就像在其他答案中:

prompt_msg = "Enter a number: "
bad_input_msg = "Sorry, I didn't understand that."
prompts = chain([prompt_msg], repeat('\n'.join([bad_input_msg, prompt_msg])))
replies = map(input, prompts)
valid_response = next(filter(str.isdigit, replies))
print(valid_response)

Enter a number:  a
Sorry, I didn't understand that.
Enter a number:  b
Sorry, I didn't understand that.
Enter a number:  1
1

它是如何工作的?

prompts = chain(["Enter a number: "], repeat("Not a number! Try again: ")) This combination of itertools.chain and itertools.repeat will create an iterator which will yield strings "Enter a number: " once, and "Not a number! Try again: " an infinite number of times: for prompt in prompts: print(prompt) Enter a number: Not a number! Try again: Not a number! Try again: Not a number! Try again: # ... and so on replies = map(input, prompts) - here map will apply all the prompts strings from the previous step to the input function. E.g.: for reply in replies: print(reply) Enter a number: a a Not a number! Try again: 1 1 Not a number! Try again: it doesn't care now it doesn't care now # and so on... We use filter and str.isdigit to filter out those strings that contain only digits: only_digits = filter(str.isdigit, replies) for reply in only_digits: print(reply) Enter a number: a Not a number! Try again: 1 1 Not a number! Try again: 2 2 Not a number! Try again: b Not a number! Try again: # and so on... And to get only the first digits-only string we use next.

其他验证规则:

String methods: Of course you can use other string methods like str.isalpha to get only alphabetic strings, or str.isupper to get only uppercase. See docs for the full list. Membership testing: There are several different ways to perform it. One of them is by using __contains__ method: from itertools import chain, repeat fruits = {'apple', 'orange', 'peach'} prompts = chain(["Enter a fruit: "], repeat("I don't know this one! Try again: ")) replies = map(input, prompts) valid_response = next(filter(fruits.__contains__, replies)) print(valid_response) Enter a fruit: 1 I don't know this one! Try again: foo I don't know this one! Try again: apple apple Numbers comparison: There are useful comparison methods which we can use here. For example, for __lt__ (<): from itertools import chain, repeat prompts = chain(["Enter a positive number:"], repeat("I need a positive number! Try again:")) replies = map(input, prompts) numeric_strings = filter(str.isnumeric, replies) numbers = map(float, numeric_strings) is_positive = (0.).__lt__ valid_response = next(filter(is_positive, numbers)) print(valid_response) Enter a positive number: a I need a positive number! Try again: -5 I need a positive number! Try again: 0 I need a positive number! Try again: 5 5.0 Or, if you don't like using dunder methods (dunder = double-underscore), you can always define your own function, or use the ones from the operator module. Path existance: Here one can use pathlib library and its Path.exists method: from itertools import chain, repeat from pathlib import Path prompts = chain(["Enter a path: "], repeat("This path doesn't exist! Try again: ")) replies = map(input, prompts) paths = map(Path, replies) valid_response = next(filter(Path.exists, paths)) print(valid_response) Enter a path: a b c This path doesn't exist! Try again: 1 This path doesn't exist! Try again: existing_file.txt existing_file.txt

限制尝试次数:

如果您不想通过无数次地询问用户某个问题来折磨用户，您可以在itertools.repeat调用中指定一个限制。这可以与为下一个函数提供默认值相结合:

from itertools import chain, repeat

prompts = chain(["Enter a number:"], repeat("Not a number! Try again:", 2))
replies = map(input, prompts)
valid_response = next(filter(str.isdigit, replies), None)
print("You've failed miserably!" if valid_response is None else 'Well done!')

Enter a number: a
Not a number! Try again: b
Not a number! Try again: c
You've failed miserably!

预处理输入数据:

有时，如果用户不小心以大写形式提供输入，或者在字符串的开头或结尾使用空格，我们不想拒绝输入。为了考虑这些简单的错误，我们可以通过应用str.lower和str.strip方法对输入数据进行预处理。例如，在成员测试的情况下，代码看起来像这样:

from itertools import chain, repeat

fruits = {'apple', 'orange', 'peach'}
prompts = chain(["Enter a fruit: "], repeat("I don't know this one! Try again: "))
replies = map(input, prompts)
lowercased_replies = map(str.lower, replies)
stripped_replies = map(str.strip, lowercased_replies)
valid_response = next(filter(fruits.__contains__, stripped_replies))
print(valid_response)

Enter a fruit:  duck
I don't know this one! Try again:     Orange
orange

在有许多函数用于预处理的情况下，使用一个函数执行函数组合可能更容易。例如，使用这里的一个:

from itertools import chain, repeat

from lz.functional import compose

fruits = {'apple', 'orange', 'peach'}
prompts = chain(["Enter a fruit: "], repeat("I don't know this one! Try again: "))
replies = map(input, prompts)
process = compose(str.strip, str.lower)  # you can add more functions here
processed_replies = map(process, replies)
valid_response = next(filter(fruits.__contains__, processed_replies))
print(valid_response)

Enter a fruit:  potato
I don't know this one! Try again:   PEACH
peach

组合验证规则:

例如，对于一个简单的情况，当程序要求年龄在1到120之间时，可以添加另一个过滤器:

from itertools import chain, repeat

prompt_msg = "Enter your age (1-120): "
bad_input_msg = "Wrong input."
prompts = chain([prompt_msg], repeat('\n'.join([bad_input_msg, prompt_msg])))
replies = map(input, prompts)
numeric_replies = filter(str.isdigit, replies)
ages = map(int, numeric_replies)
positive_ages = filter((0).__lt__, ages)
not_too_big_ages = filter((120).__ge__, positive_ages)
valid_response = next(not_too_big_ages)
print(valid_response)

但是在有很多规则的情况下，最好实现一个执行逻辑连接的函数。在下面的例子中，我将使用一个现成的例子:

from functools import partial
from itertools import chain, repeat

from lz.logical import conjoin


def is_one_letter(string: str) -> bool:
    return len(string) == 1


rules = [str.isalpha, str.isupper, is_one_letter, 'C'.__le__, 'P'.__ge__]

prompt_msg = "Enter a letter (C-P): "
bad_input_msg = "Wrong input."
prompts = chain([prompt_msg], repeat('\n'.join([bad_input_msg, prompt_msg])))
replies = map(input, prompts)
valid_response = next(filter(conjoin(*rules), replies))
print(valid_response)

Enter a letter (C-P):  5
Wrong input.
Enter a letter (C-P):  f
Wrong input.
Enter a letter (C-P):  CDE
Wrong input.
Enter a letter (C-P):  Q
Wrong input.
Enter a letter (C-P):  N
N

不幸的是，如果有人需要为每个失败的情况定制消息，那么恐怕没有非常实用的方法。或者，至少我找不到。

基于Daniel Q和Patrick Artner的优秀建议， 这里有一个更普遍的解决方案。

# Assuming Python3
import sys

class ValidationError(ValueError):  # thanks Patrick Artner
    pass

def validate_input(prompt, cast=str, cond=(lambda x: True), onerror=None):
    if onerror==None: onerror = {}
    while True:
        try:
            data = cast(input(prompt))
            if not cond(data): raise ValidationError
            return data
        except tuple(onerror.keys()) as e:  # thanks Daniel Q
            print(onerror[type(e)], file=sys.stderr)

我选择了显式的if和raise语句，而不是assert， 因为断言检查可能被关闭， 而验证应始终开启以提供健壮性。

这可以用来获得不同种类的输入， 使用不同的验证条件。 例如:

# No validation, equivalent to simple input:
anystr = validate_input("Enter any string: ")

# Get a string containing only letters:
letters = validate_input("Enter letters: ",
    cond=str.isalpha,
    onerror={ValidationError: "Only letters, please!"})

# Get a float in [0, 100]:
percentage = validate_input("Percentage? ",
    cast=float, cond=lambda x: 0.0<=x<=100.0,
    onerror={ValidationError: "Must be between 0 and 100!",
             ValueError: "Not a number!"})

或者，回答最初的问题:

age = validate_input("Please enter your age: ",
        cast=int, cond=lambda a:0<=a<150,
        onerror={ValidationError: "Enter a plausible age, please!",
                 ValueError: "Enter an integer, please!"})
if age >= 18: 
    print("You are able to vote in the United States!")
else:
    print("You are not able to vote in the United States.")

使用自定义ValidationError和(可选的)整数输入范围验证的输入验证的另一个解决方案:

class ValidationError(ValueError): 
    """Special validation error - its message is supposed to be printed"""
    pass

def RangeValidator(text,num,r):
    """Generic validator - raises 'text' as ValidationError if 'num' not in range 'r'."""
    if num in r:
        return num
    raise ValidationError(text)

def ValidCol(c): 
    """Specialized column validator providing text and range."""
    return RangeValidator("Columns must be in the range of 0 to 3 (inclusive)", 
                          c, range(4))

def ValidRow(r): 
    """Specialized row validator providing text and range."""
    return RangeValidator("Rows must be in the range of 5 to 15(exclusive)",
                          r, range(5,15))

用法:

def GetInt(text, validator=None):
    """Aks user for integer input until a valid integer is given. If provided, 
    a 'validator' function takes the integer and either raises a 
    ValidationError to be printed or returns the valid number. 
    Non integers display a simple error message."""
    print()
    while True:
        n = input(text)
        try:
            n = int(n)

            return n if validator is None else validator(n)

        except ValueError as ve:
            # prints ValidationErrors directly - else generic message:
            if isinstance(ve, ValidationError):
                print(ve)
            else:
                print("Invalid input: ", n)


column = GetInt("Pleased enter column: ", ValidCol)
row = GetInt("Pleased enter row: ", ValidRow)
print( row, column)

输出:

Pleased enter column: 22
Columns must be in the range of 0 to 3 (inclusive)
Pleased enter column: -2
Columns must be in the range of 0 to 3 (inclusive)
Pleased enter column: 2
Pleased enter row: a
Invalid input:  a
Pleased enter row: 72
Rows must be in the range of 5 to 15(exclusive)
Pleased enter row: 9  

9, 2

虽然公认的答案是惊人的。我也想分享一个快速解决这个问题的方法。(这也解决了负年龄问题。)

f=lambda age: (age.isdigit() and ((int(age)>=18  and "Can vote" ) or "Cannot vote")) or \
f(input("invalid input. Try again\nPlease enter your age: "))
print(f(input("Please enter your age: ")))

附注:此代码用于python 3.x。