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Python list iterator behavior and next(iterator)

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What does next ITER ()) do in Python?

The next() function returns the next item from the iterator. If the iterator is exhausted, it returns the default value passed as an argument.

What is iteration in Python explain ITER () and next method ()?

An iterator is an object that contains a countable number of values. An iterator is an object that can be iterated upon, meaning that you can traverse through all the values. Technically, in Python, an iterator is an object which implements the iterator protocol, which consist of the methods __iter__() and __next__() .

Can we iterate an iterable using next method ()?

Iterating Through an IteratorWe use the next() function to manually iterate through all the items of an iterator. When we reach the end and there is no more data to be returned, it will raise the StopIteration Exception. Following is an example. A more elegant way of automatically iterating is by using the for loop.

Can I use next on a list in Python?

Python next() method returns the next element from the list; if not present, prints the default value. If the default value is not present, raise the StopIteration error. You can add a default return value to return if the iterable has reached its end.


What you see is the interpreter echoing back the return value of next() in addition to i being printed each iteration:

>>> a = iter(list(range(10)))
>>> for i in a:
...    print(i)
...    next(a)
... 
0
1
2
3
4
5
6
7
8
9

So 0 is the output of print(i), 1 the return value from next(), echoed by the interactive interpreter, etc. There are just 5 iterations, each iteration resulting in 2 lines being written to the terminal.

If you assign the output of next() things work as expected:

>>> a = iter(list(range(10)))
>>> for i in a:
...    print(i)
...    _ = next(a)
... 
0
2
4
6
8

or print extra information to differentiate the print() output from the interactive interpreter echo:

>>> a = iter(list(range(10)))
>>> for i in a:
...    print('Printing: {}'.format(i))
...    next(a)
... 
Printing: 0
1
Printing: 2
3
Printing: 4
5
Printing: 6
7
Printing: 8
9

In other words, next() is working as expected, but because it returns the next value from the iterator, echoed by the interactive interpreter, you are led to believe that the loop has its own iterator copy somehow.


What is happening is that next(a) returns the next value of a, which is printed to the console because it is not affected.

What you can do is affect a variable with this value:

>>> a = iter(list(range(10)))
>>> for i in a:
...    print(i)
...    b=next(a)
...
0
2
4
6
8

I find the existing answers a little confusing, because they only indirectly indicate the essential mystifying thing in the code example: both* the "print i" and the "next(a)" are causing their results to be printed.

Since they're printing alternating elements of the original sequence, and it's unexpected that the "next(a)" statement is printing, it appears as if the "print i" statement is printing all the values.

In that light, it becomes more clear that assigning the result of "next(a)" to a variable inhibits the printing of its' result, so that just the alternate values that the "i" loop variable are printed. Similarly, making the "print" statement emit something more distinctive disambiguates it, as well.

(One of the existing answers refutes the others because that answer is having the example code evaluated as a block, so that the interpreter is not reporting the intermediate values for "next(a)".)

The beguiling thing in answering questions, in general, is being explicit about what is obvious once you know the answer. It can be elusive. Likewise critiquing answers once you understand them. It's interesting...


For those who still do not understand.

>>> a = iter(list(range(10)))
>>> for i in a:
...    print(i)
...    next(a)
... 
0 # print(i) printed this
1 # next(a) printed this
2 # print(i) printed this
3 # next(a) printed this
4 # print(i) printed this
5 # next(a) printed this
6 # print(i) printed this
7 # next(a) printed this
8 # print(i) printed this
9 # next(a) printed this

As others have already said, next increases the iterator by 1 as expected. Assigning its returned value to a variable doesn't magically changes its behaviour.


Something is wrong with your Python/Computer.

a = iter(list(range(10)))
for i in a:
   print(i)
   next(a)

>>> 
0
2
4
6
8

Works like expected.

Tested in Python 2.7 and in Python 3+ . Works properly in both


It behaves the way you want if called as a function:

>>> def test():
...     a = iter(list(range(10)))
...     for i in a:
...         print(i)
...         next(a)
... 
>>> test()
0
2
4
6
8