如果不重新创建一个新列表，你可以通过索引:

>>> foo = ['1a','2b','3c','4d']
>>> for i in range(len(foo)):
...     print foo[-(i+1)]
...
4d
3c
2b
1a
>>>

OR

>>> length = len(foo)
>>> for i in range(length):
...     print foo[length-i-1]
...
4d
3c
2b
1a
>>>

在python 3中，list创建了一个副本，因此reversed(list(enumerate(collection))可能效率很低，生成的另一个列表没有被优化。

如果collection确实是一个列表，那么最好将复杂性隐藏在迭代器后面

def reversed_enumerate(collection: list):
    for i in range(len(collection)-1, -1, -1):
        yield i, collection[i]

所以，最干净的是:

for i, elem in reversed_enumerate(['foo', 'bar', 'baz']):
    print(i, elem)

你也可以使用while循环:

i = len(collection)-1
while i>=0:
    value = collection[i]
    index = i
    i-=1

假设任务是在列表中找到最后一个满足某些条件的元素(即向后看时的第一个元素)，我得到以下数字。

Python 2:

>>> min(timeit.repeat('for i in xrange(len(xs)-1,-1,-1):\n    if 128 == xs[i]: break', setup='xs, n = range(256), 0', repeat=8))
4.6937971115112305
>>> min(timeit.repeat('for i in reversed(xrange(0, len(xs))):\n    if 128 == xs[i]: break', setup='xs, n = range(256), 0', repeat=8))
4.809093952178955
>>> min(timeit.repeat('for i, x in enumerate(reversed(xs), 1):\n    if 128 == x: break', setup='xs, n = range(256), 0', repeat=8))
4.931743860244751
>>> min(timeit.repeat('for i, x in enumerate(xs[::-1]):\n    if 128 == x: break', setup='xs, n = range(256), 0', repeat=8))
5.548468112945557
>>> min(timeit.repeat('for i in xrange(len(xs), 0, -1):\n    if 128 == xs[i - 1]: break', setup='xs, n = range(256), 0', repeat=8))
6.286104917526245
>>> min(timeit.repeat('i = len(xs)\nwhile 0 < i:\n    i -= 1\n    if 128 == xs[i]: break', setup='xs, n = range(256), 0', repeat=8))
8.384078979492188

所以，最丑的选项xrange(len(xs)-1，-1，-1)是最快的。

Python 3(不同机器):

>>> timeit.timeit('for i in range(len(xs)-1,-1,-1):\n    if 128 == xs[i]: break', setup='xs, n = range(256), 0', number=400000)
4.48873088900001
>>> timeit.timeit('for i in reversed(range(0, len(xs))):\n    if 128 == xs[i]: break', setup='xs, n = range(256), 0', number=400000)
4.540959084000008
>>> timeit.timeit('for i, x in enumerate(reversed(xs), 1):\n    if 128 == x: break', setup='xs, n = range(256), 0', number=400000)
1.9069805409999958
>>> timeit.timeit('for i, x in enumerate(xs[::-1]):\n    if 128 == x: break', setup='xs, n = range(256), 0', number=400000)
2.960720073999994
>>> timeit.timeit('for i in range(len(xs), 0, -1):\n    if 128 == xs[i - 1]: break', setup='xs, n = range(256), 0', number=400000)
5.316207007999992
>>> timeit.timeit('i = len(xs)\nwhile 0 < i:\n    i -= 1\n    if 128 == xs[i]: break', setup='xs, n = range(256), 0', number=400000)
5.802550058999998

这里，enumerate(reversed(xs)， 1)是最快的。

>>> l = ["a","b","c","d"]
>>> l.reverse()
>>> l
['d', 'c', 'b', 'a']

OR

>>> print l[::-1]
['d', 'c', 'b', 'a']

一个简单的方法:

n = int(input())
arr = list(map(int, input().split()))

for i in reversed(range(0, n)):
    print("%d %d" %(i, arr[i]))