最简单的方法是将输入法放入while循环中。当您得到错误的输入时使用continue，当您满意时跳出循环。
当你的输入可能引发一个异常
使用try和except检测用户何时输入无法解析的数据。
while True:
try:
# Note: Python 2.x users should use raw_input, the equivalent of 3.x's input
age = int(input("Please enter your age: "))
except ValueError:
print("Sorry, I didn't understand that.")
#better try again... Return to the start of the loop
continue
else:
#age was successfully parsed!
#we're ready to exit the loop.
break
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.")
实现您自己的验证规则
如果想拒绝Python可以成功解析的值，可以添加自己的验证逻辑。
while True:
data = input("Please enter a loud message (must be all caps): ")
if not data.isupper():
print("Sorry, your response was not loud enough.")
continue
else:
#we're happy with the value given.
#we're ready to exit the loop.
break
while True:
data = input("Pick an answer from A to D:")
if data.lower() not in ('a', 'b', 'c', 'd'):
print("Not an appropriate choice.")
else:
break
结合异常处理和自定义验证
以上两种技术都可以组合成一个循环。
while True:
try:
age = int(input("Please enter your age: "))
except ValueError:
print("Sorry, I didn't understand that.")
continue
if age < 0:
print("Sorry, your response must not be negative.")
continue
else:
#age was successfully parsed, and we're happy with its value.
#we're ready to exit the loop.
break
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.")
把它封装在一个函数中
如果您需要向用户询问许多不同的值，那么将这些代码放在函数中可能会很有用，这样您就不必每次都重新键入。
def get_non_negative_int(prompt):
while True:
try:
value = int(input(prompt))
except ValueError:
print("Sorry, I didn't understand that.")
continue
if value < 0:
print("Sorry, your response must not be negative.")
continue
else:
break
return value
age = get_non_negative_int("Please enter your age: ")
kids = get_non_negative_int("Please enter the number of children you have: ")
salary = get_non_negative_int("Please enter your yearly earnings, in dollars: ")
把它们放在一起
你可以扩展这个想法来创建一个非常通用的输入函数:
def sanitised_input(prompt, type_=None, min_=None, max_=None, range_=None):
if min_ is not None and max_ is not None and max_ < min_:
raise ValueError("min_ must be less than or equal to max_.")
while True:
ui = input(prompt)
if type_ is not None:
try:
ui = type_(ui)
except ValueError:
print("Input type must be {0}.".format(type_.__name__))
continue
if max_ is not None and ui > max_:
print("Input must be less than or equal to {0}.".format(max_))
elif min_ is not None and ui < min_:
print("Input must be greater than or equal to {0}.".format(min_))
elif range_ is not None and ui not in range_:
if isinstance(range_, range):
template = "Input must be between {0.start} and {0.stop}."
print(template.format(range_))
else:
template = "Input must be {0}."
if len(range_) == 1:
print(template.format(*range_))
else:
expected = " or ".join((
", ".join(str(x) for x in range_[:-1]),
str(range_[-1])
))
print(template.format(expected))
else:
return ui
用法如下:
age = sanitised_input("Enter your age: ", int, 1, 101)
answer = sanitised_input("Enter your answer: ", str.lower, range_=('a', 'b', 'c', 'd'))
常见的陷阱，以及为什么你应该避免它们
冗余输入语句的冗余使用
这种方法有效，但通常被认为是糟糕的风格:
data = input("Please enter a loud message (must be all caps): ")
while not data.isupper():
print("Sorry, your response was not loud enough.")
data = input("Please enter a loud message (must be all caps): ")
最初它可能看起来很吸引人，因为它比while True方法更短，但它违反了软件开发的“不要重复自己”原则。这增加了系统中出现错误的可能性。如果您想通过将输入更改为raw_input来向后移植到2.7，但不小心只更改了上面的第一个输入，该怎么办?这是一个等待发生的SyntaxError。
递归会破坏你的堆栈
如果您刚刚学习过递归，您可能会在get_non_negative_int中使用它，这样就可以处理while循环。
def get_non_negative_int(prompt):
try:
value = int(input(prompt))
except ValueError:
print("Sorry, I didn't understand that.")
return get_non_negative_int(prompt)
if value < 0:
print("Sorry, your response must not be negative.")
return get_non_negative_int(prompt)
else:
return value
这在大多数情况下似乎工作正常，但如果用户输入无效数据的次数足够多，脚本将以RuntimeError终止:超出最大递归深度。你可能认为“没有傻瓜会连续犯1000个错误”，但你低估了傻瓜的聪明才智!
