我正在编写一个接受用户输入的程序。

#note: Python 2.7 users should use `raw_input`, the equivalent of 3.X's `input`
age = int(input("Please enter your age: "))
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.")

只要用户输入有意义的数据,程序就能正常工作。

Please enter your age: 23
You are able to vote in the United States!

但如果用户输入无效数据,则失败:

Please enter your age: dickety six
Traceback (most recent call last):
  File "canyouvote.py", line 1, in <module>
    age = int(input("Please enter your age: "))
ValueError: invalid literal for int() with base 10: 'dickety six'

而不是崩溃,我希望程序再次要求输入。是这样的:

Please enter your age: dickety six
Sorry, I didn't understand that.
Please enter your age: 26
You are able to vote in the United States!

我如何要求有效输入而不是崩溃或接受无效值(例如-1)?


当前回答

使用isdigit()检查字符串是否代表有效的整数。

你可以使用递归函数。

def ask():
    answer = input("Please enter amount to convert: ")
    if not answer.isdigit():
        print("Invalid")
        return ask()

    return int(answer)

Gdp = ask()

或者while循环

while True:
    answer = input("Please enter amount to convert: ")
    if not answer.isdigit():
        print("Invalid")
        continue

    Gbp = int(answer)

其他回答

试试这个:-

def takeInput(required):
  print 'ooo or OOO to exit'
  ans = raw_input('Enter: ')

  if not ans:
      print "You entered nothing...!"
      return takeInput(required) 

      ##  FOR Exit  ## 
  elif ans in ['ooo', 'OOO']:
    print "Closing instance."
    exit()

  else:
    if ans.isdigit():
      current = 'int'
    elif set('[~!@#$%^&*()_+{}":/\']+$').intersection(ans):
      current = 'other'
    elif isinstance(ans,basestring):
      current = 'str'        
    else:
      current = 'none'

  if required == current :
    return ans
  else:
    return takeInput(required)

## pass the value in which type you want [str/int/special character(as other )]
print "input: ", takeInput('str')

您可以编写更通用的逻辑,以允许用户只输入特定次数,因为在许多实际应用程序中都会出现相同的用例。

def getValidInt(iMaxAttemps = None):
  iCount = 0
  while True:
    # exit when maximum attempt limit has expired
    if iCount != None and iCount > iMaxAttemps:
       return 0     # return as default value

    i = raw_input("Enter no")
    try:
       i = int(i)
    except ValueError as e:
       print "Enter valid int value"
    else:
       break

    return i

age = getValidInt()
# do whatever you want to do.

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。

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。

使用“while”语句,直到用户输入一个真值,如果输入值不是一个数字或它是一个空值跳过它,并尝试再次询问,等等。 举例来说,我试图真正地回答你的问题。如果我们假设我们的年龄在1到150之间,那么输入值被接受,否则它是一个错误的值。 对于终止程序,用户可以使用0键并输入它作为一个值。

注意:阅读代码顶部的注释。

# If your input value is only a number then use "Value.isdigit() == False".
# If you need an input that is a text, you should remove "Value.isdigit() == False".
def Input(Message):
    Value = None
    while Value == None or Value.isdigit() == False:
        try:        
            Value = str(input(Message)).strip()
        except Exception:
            Value = None
    return Value

# Example:
age = 0
# If we suppose that our age is between 1 and 150 then input value accepted,
# else it's a wrong value.
while age <=0 or age >150:
    age = int(Input("Please enter your age: "))
    # For terminating program, the user can use 0 key and enter it as an a value.
    if age == 0:
        print("Terminating ...")
        exit(0)
        
if age >= 18 and age <=150: 
    print("You are able to vote in the United States!")
else:
    print("You are not able to vote in the United States.")