Python Enhancement Proposals

PEP 212 – Loop Counter Iteration

Loop Counter Iteration
nowonder at (Peter Schneider-Kamp)
Standards Track


Rejection Notice

This PEP has been rejected. enumerate(), introduced in PEP 279, covers the use-case proposed in this PEP, and the PEP author has been unreachable.


This PEP describes the often proposed feature of exposing the loop counter in for-loops. This PEP tracks the status and ownership of this feature. It contains a description of the feature and outlines changes necessary to support the feature. This PEP summarizes discussions held in mailing list forums, and provides URLs for further information, where appropriate. The CVS revision history of this file contains the definitive historical record.


Standard for-loops in Python iterate over the elements of a sequence [1]. Often it is desirable to loop over the indices or both the elements and the indices instead.

The common idioms used to accomplish this are unintuitive. This PEP proposes two different ways of exposing the indices.

Loop counter iteration

The current idiom for looping over the indices makes use of the built-in range function:

for i in range(len(sequence)):
    # work with index i

Looping over both elements and indices can be achieved either by the old idiom or by using the new zip built-in function [2]:

for i in range(len(sequence)):
    e = sequence[i]
    # work with index i and element e


for i, e in zip(range(len(sequence)), sequence):
   # work with index i and element e

The Proposed Solutions

There are three solutions that have been discussed. One adds a non-reserved keyword, the other adds two built-in functions. A third solution adds methods to sequence objects.

Non-reserved keyword indexing

This solution would extend the syntax of the for-loop by adding an optional <variable> indexing clause which can also be used instead of the <variable> in clause.

Looping over the indices of a sequence would thus become:

for i indexing sequence:
    # work with index i

Looping over both indices and elements would similarly be:

for i indexing e in sequence:
    # work with index i and element e

Built-in functions indices and irange

This solution adds two built-in functions indices and irange. The semantics of these can be described as follows:

def indices(sequence):
    return range(len(sequence))

def irange(sequence):
    return zip(range(len(sequence)), sequence)

These functions could be implemented either eagerly or lazily and should be easy to extend in order to accept more than one sequence argument.

The use of these functions would simplify the idioms for looping over the indices and over both elements and indices:

for i in indices(sequence):
    # work with index i

for i, e in irange(sequence):
    # work with index i and element e

Methods for sequence objects

This solution proposes the addition of indices, items and values methods to sequences, which enable looping over indices only, both indices and elements, and elements only respectively.

This would immensely simplify the idioms for looping over indices and for looping over both elements and indices:

for i in sequence.indices():
    # work with index i

for i, e in sequence.items():
    # work with index i and element e

Additionally it would allow to do looping over the elements of sequences and dictionaries in a consistent way:

for e in sequence_or_dict.values():
    # do something with element e


For all three solutions some more or less rough patches exist as patches at SourceForge:

  • for i indexing a in l: exposing the for-loop counter [3]
  • add indices() and irange() to built-ins [4]
  • add items() method to listobject [5]

All of them have been pronounced on and rejected by the BDFL.

Note that the indexing keyword is only a NAME in the grammar and so does not hinder the general use of indexing.

Backward Compatibility Issues

As no keywords are added and the semantics of existing code remains unchanged, all three solutions can be implemented without breaking existing code.


Lockstep Iteration, PEP 201


Last modified: 2022-01-21 11:03:51 GMT