我解决问题的方法是保留到目前为止迭代的对象数量的计数。我想通过调用实例方法遍历一个集合。因为我知道集合的长度，以及到目前为止计数的项的数量，所以我有效地使用了hasNext方法。

我的代码的一个简单版本:

class Iterator:
    # s is a string, say
    def __init__(self, s):
        self.s = set(list(s))
        self.done = False
        self.iter = iter(s)
        self.charCount = 0

    def next(self):
        if self.done:
            return None
        self.char = next(self.iter)
        self.charCount += 1
        self.done = (self.charCount < len(self.s))
        return self.char

    def hasMore(self):
        return not self.done

当然，这个例子是一个玩具，但您可以理解。这在无法获取可迭代对象长度的情况下不起作用，比如生成器等。

不。最类似的概念很可能是StopIteration异常。

建议的方法是StopIteration。 请参阅tutorialspoint中的斐波那契示例

#!usr/bin/python3

import sys
def fibonacci(n): #generator function
   a, b, counter = 0, 1, 0
   while True:
      if (counter > n): 
         return
      yield a
      a, b = b, a + b
      counter += 1
f = fibonacci(5) #f is iterator object

while True:
   try:
      print (next(f), end=" ")
   except StopIteration:
      sys.exit()

如果您确实需要一个has-next功能，那么使用一个小包装器类很容易获得它。例如:

class hn_wrapper(object):
  def __init__(self, it):
    self.it = iter(it)
    self._hasnext = None
  def __iter__(self): return self
  def next(self):
    if self._hasnext:
      result = self._thenext
    else:
      result = next(self.it)
    self._hasnext = None
    return result
  def hasnext(self):
    if self._hasnext is None:
      try: self._thenext = next(self.it)
      except StopIteration: self._hasnext = False
      else: self._hasnext = True
    return self._hasnext

现在就像

x = hn_wrapper('ciao')
while x.hasnext(): print next(x)

发出

c
i
a
o

是必需的。

Note that the use of next(sel.it) as a built-in requires Python 2.6 or better; if you're using an older version of Python, use self.it.next() instead (and similarly for next(x) in the example usage). [[You might reasonably think this note is redundant, since Python 2.6 has been around for over a year now -- but more often than not when I use Python 2.6 features in a response, some commenter or other feels duty-bound to point out that they are 2.6 features, thus I'm trying to forestall such comments for once;-)]]

===

对于Python3，您将进行以下更改:

from collections.abc import Iterator  # since python 3.3 Iterator is here

class hn_wrapper(Iterator):  # need to subclass Iterator rather than object
  def __init__(self, it):
    self.it = iter(it)
    self._hasnext = None
    
  def __iter__(self): 
    return self
  
  def __next__(self):        # __next__ vs next in python 2
    if self._hasnext:
      result = self._thenext
    else:
      result = next(self.it)
    self._hasnext = None
    return result
  
  def hasnext(self):
    if self._hasnext is None:
      try: 
        self._thenext = next(self.it)
      except StopIteration: 
        self._hasnext = False
      else: self._hasnext = True
    return self._hasnext

除了所有提到的StopIteration, Python的“for”循环只是做你想要的:

>>> it = iter("hello")
>>> for i in it:
...     print i
...
h
e
l
l
o

我认为当你想要某种has_next功能时，有一些有效的用例，在这种情况下，你应该用定义了has_next的迭代器来装饰迭代器。

结合这个问题的答案的概念，这里是我的实现，这对我来说是一个很好的简洁的解决方案(python 3.9):

_EMPTY_BUF = object()


class BufferedIterator(Iterator[_T]):
    def __init__(self, real_it: Iterator[_T]):
        self._real_it = real_it
        self._buf = next(self._real_it, _EMPTY_BUF)

    def has_next(self):
        return self._buf is not _EMPTY_BUF

    def __next__(self) -> _T_co:
        v = self._buf
        self._buf = next(self._real_it, _EMPTY_BUF)
        if v is _EMPTY_BUF:
            raise StopIteration()
        return v

主要的区别是has_next只是一个布尔表达式，也处理None值的迭代器。

将此添加到这里的测试和示例使用的要点。