{"id":6731,"date":"2018-01-29T12:54:30","date_gmt":"2018-01-29T07:24:30","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=6731"},"modified":"2026-04-28T14:40:29","modified_gmt":"2026-04-28T09:10:29","slug":"python-iterator","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/python-iterator\/","title":{"rendered":"What is Python Iterator – Create your own Iterator"},"content":{"rendered":"

In this Python Iterator Tutorial, we will learn what a Python iterator.<\/p>\n

We will also discuss how to create our own __iter__() and __next__() methods, building a Python iterator, a for loop in Python iterator, an infinite Python iterator, and the benefits of an iterator in Python with an example.<\/p>\n

In our article on Python in-built functions, one function we saw was iter(). Let us generate an iterator in Python, which we traversed using the next() function.<\/p>\n

S, let’s start Python Iterator Tutorial.<\/p>\n

What are Python3 Iterators?<\/h3>\n

An iterator in the Python programming language is an object that you can iterate upon. That is, it returns one object at a time.<\/p>\n

Python Iterator, implicitly implemented in constructs like for-loops, comprehensions, and Python generators.<\/p>\n

The iter() and next() functions collectively form the iterator protocol.<\/p>\n

If we can get an iterable from an object in Python, it is iterable. Examples include Python lists, Python tuples, and Python strings.<\/p>\n

How to Create a Python Iterator?<\/h3>\n

To build a Python 3 iterator, we use the iter() and next() functions. Let\u2019s begin with iter() to create an iterator.<\/p>\n

First, we create a list of events to store even numbers from 2 to 10.<\/p>\n

>>> evens=[2,4,6,8,10]<\/pre>\n
Then, we apply the iter() function to this Python list to create a Python iterator object. We store it in the variable evenIterator.<\/p>\n
>>> evenIterator=iter(evens)\r\n>>> evenIterator<\/pre>\n
Output<\/strong><\/p>\n
<list_iterator object at 0x05E35410><\/div>\n
Remember, it does not have to be a list you create an iterator on.<\/p>\n
>>> iter((1,3,2))<\/pre>\n
Output<\/strong><\/p>\n
<tuple_iterator object at 0x05E35550><\/div>\n
Now, to access the first element, we apply the function next() on the Python iterator object.<\/p>\n
>>> next(evenIterator)<\/pre>\n
Output<\/strong><\/p>\n
2<\/div>\n
We do the same for the next element(s) as well.<\/p>\n
>>> next(evenIterator)<\/pre>\n
Output<\/strong><\/p>\n
4<\/div>\n
>>> next(evenIterator)<\/pre>\n
Output<\/strong><\/p>\n
6<\/div>\n
>>> next(evenIterator)<\/pre>\n
Output<\/strong><\/p>\n
8<\/div>\n
>>> next(evenIterator)<\/pre>\n
Output<\/strong><\/p>\n
10<\/div>\n
We have reached the end of the list. When we call it once more, we raise a StopIteration error (exception). The interpreter internally catches it.<\/p>\n
>>> next(evenIterator)<\/pre>\n
Output<\/strong><\/p>\n
\n
Traceback (most recent call last):File “<pyshell#442>”, line 1, in <module>next(evenIterator)StopIteration<\/p>\n<\/div>\n
__next__()<\/strong><\/p>\n
You can also traverse the Python iterator using the __next__() method.<\/p>\n
>>> nums=[1,2,3]\r\n>>> numIter=iter(nums)\r\n>>> numIter.__next__()<\/pre>\n
Output<\/strong><\/p>\n
1<\/div>\n
>>> next(numIter)<\/pre>\n
Output<\/strong><\/p>\n
2<\/div>\n
>>> numIter.__next__()<\/pre>\n
Output<\/strong><\/p>\n
3<\/div>\n
>>> numIter.__next__()<\/pre>\n
Output<\/strong><\/p>\n
Traceback (most recent call last):
\nFile “<pyshell#448>”, line 1, in <module>numIter.__next__()StopIteration<\/div>\n
We can see this with the dir() function we saw in the built-in functions in Python.<\/p>\n
>>> dir(numIter)<\/pre>\n
Output<\/strong><\/p>\n
[‘__class__’, ‘__delattr__’, ‘__dir__’, ‘__doc__’, ‘__eq__’, ‘__format__’, ‘__ge__’, ‘__getattribute__’, ‘__gt__’, ‘__hash__’, ‘__init__’, ‘__init_subclass__’, ‘__iter__’, ‘__le__’, ‘__length_hint__’, ‘__lt__’, ‘__ne__’, ‘__new__’, ‘__next__’, ‘__reduce__’, ‘__reduce_ex__’, ‘__repr__’, ‘__setattr__’, ‘__setstate__’, ‘__sizeof__’, ‘__str__’, ‘__subclasshook__’]<\/div>\n
For-loop in Python Iterator<\/h3>\n
You can also use a for loop in Python to iterate over an iterable like a Python list or a Python tuple.<\/p>\n
    \n
  • While using a loop, avoid managing the index manually.<\/li>\n
  • A loop lets you go through iterable objects like a dictionary, a list, or a custom iterator.<\/li>\n
  • In a loop, you can apply the same operation to every item .<\/li>\n<\/ul>\n
    >>> for i in 'Python':\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 print(i)<\/pre>\n
    Output<\/strong><\/p>\n
    P
    \ny
    \nt
    \nh
    \no
    \nn<\/div>\n
    But how is this actually implemented? Let\u2019s take a look.<\/p>\n
    >>> iter_obj=iter('Python')\r\n>>> while True:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 try:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 i=next(iter_obj)\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 print(i)\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 except StopIteration:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 break<\/pre>\n
    Output<\/strong><\/p>\n
    P
    \ny
    \nt
    \nh
    \no
    \nn<\/div>\n
    So, this is how the above for loop is actually implemented.<\/p>\n
    How to Create Your Own Python Iterator?<\/h3>\n
    Now you know how to use an iterator with the iter() and next() functions. But we won\u2019t stop here. We will now start from scratch.<\/p>\n
    We implement the following class to create an iterator in Python for the squares of numbers from 1 to max.<\/p>\n
    >>> class PowTwo:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 def __init__(self,max=0):\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 self.max=max\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 def __iter__(self):\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 self.n=0\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 return self\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 def __next__(self):\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 if self.n<=self.max:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 result=2**self.n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 self.n+=1\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 return result\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 else:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 raise StopIteration<\/pre>\n
    Here, __init__() is to take the value of max. Then, we create a Python object \u2018a\u2019 of the class, with the argument 4.<\/p>\n
    Then, we create an iterator in Python using iter(). Next, we use the next() function to get the elements one by one.<\/p>\n
    >>> a=PowTwo(4)\r\n>>> i=iter(a)\r\n>>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    1<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    2<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    4<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    8<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    16<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    Traceback (most recent call last):
    \nFile “<pyshell#484>”, line 1, in <module>next(i)File “<pyshell#476>”, line 13, in __next__raise StopIterationStopIteration<\/div>\n
    Alternatively, you can use the __iter__() and __next__() methods for this object.<\/p>\n
    >>> j=a.__iter__()\r\n>>> j.__next__()<\/pre>\n
    Output<\/strong><\/p>\n
    1<\/div>\n
    >>> j.__next__()<\/pre>\n
    Output<\/strong><\/p>\n
    2<\/div>\n
    >>> j.__next__()<\/pre>\n
    Output<\/strong><\/p>\n
    4<\/div>\n
    >>> j.__next__()<\/pre>\n
    Output<\/strong><\/p>\n
    8<\/div>\n
    >>> j.__next__()<\/pre>\n
    Output<\/strong><\/p>\n
    16<\/div>\n
    >>> j.__next__()<\/pre>\n
    Output<\/strong><\/p>\n
    Traceback (most recent call last):
    \nFile “<pyshell#491>”, line 1, in <module>j.__next__()File “<pyshell#476>”, line 13, in __next__raise StopIterationStopIteration<\/div>\n
    Internally, the iter() function calls the __iter__() method.<\/p>\n
    Infinite Python3 Iterator<\/h3>\n
    It is indeed possible to create an iterator in Python that never exhausts. The iter() function can take another argument, called the \u2018sentinel\u2019, which keeps a watch.<\/p>\n
    As long as the first value isn\u2019t the same as the sentinel, the Python iterator does not exhaust.<\/p>\n
    We know that the int() function, without a parameter, returns 0.<\/p>\n
    >>> int()<\/pre>\n
    Now, we call iter() on two arguments- int and 1.<\/p>\n
    >>> a=iter(int,1)<\/pre>\n
    This Python iterator will never exhaust; it is infinite. This is because 0 is never equal to 1.<\/p>\n
    >>> next(a)<\/pre>\n
    >>> next(a)<\/pre>\n
    >>> next(a)<\/pre>\n
    >>> next(a)<\/pre>\n
    >>> next(a)<\/pre>\n
    And so on.<\/p>\n
    To create an infinite Python iterator using a class, take the following example.<\/p>\n
    >>> class Even:\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 def __iter__(self):\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 self.num=2\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 return self\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 def __next__(self):\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 num=self.num\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 self.num+=2\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 return num\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\r\n>>> e=Even()\r\n>>> i=iter(e)\r\n>>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    2<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    4<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    6<\/div>\n
    >>> next(i)<\/pre>\n
    Output<\/strong><\/p>\n
    8<\/div>\n
    This Python iterates on even numbers beginning at 2, ending nowhere. So, you must be careful to include a terminating condition.<\/p>\n
    Benefits of Python Iterator<\/h3>\n
    An iterator in Python saves resources. To get all the elements, only one element is stored in the memory at a time. Unlike this, a list would have to store all the values at once.<\/p>\n
    Python Interview Questions on Iterators<\/h3>\n
    1. What are Python Iterators?<\/p>\n
    2. Why is an iterator used in Python?<\/p>\n
    3. How do you write an Iterator in Python?<\/p>\n
    4. What are iterators and iterables in Python?<\/p>\n
    5. Why is iteration important in Python?<\/p>\n
    Conclusion<\/h3>\n
    An iterator is the worker returned by iter(obj) that actually produces items one by one. It must keep its own internal state and provide a __next__() method that raises StopIteration when done. Every call to next(it) yields the next value, letting a loop progress without copying the whole dataset.<\/p>\n
    However, we can make our own iterator in Python with a Python class. Finally, we looked at infinite iterators.<\/p>\n","protected":false},"excerpt":{"rendered":"
    In this Python Iterator Tutorial, we will learn what a Python iterator. We will also discuss how to create our own __iter__() and __next__() methods, building a Python iterator, a for loop in Python...<\/p>\n","protected":false},"author":5,"featured_media":6733,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[1774,1784,2200,2202,2215,4853,6698,15867],"class_list":["post-6731","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-benefits-of-iterator-in-python","tag-benefits-of-python-iterator","tag-building-a-python-iterator","tag-building-an-iterator-in-python","tag-building-python-iterator","tag-for-loop-in-python","tag-infinite-python-iterator","tag-what-is-python-iterators"],"yoast_head":"\nWhat is Python Iterator - Create your own Iterator - DataFlair<\/title>\n<meta name=\"description\" content=\"Learn about iterator in python with syntax, examples and benefits, for loop in python iterator, Infinite Python Iterators.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/python-iterator\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Python Iterator - 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