How do I iterate over a list in reverse in Python?
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Possible duplicate of stackoverflow.com/questions/931092/reverse-a-string-in-python– ᴇɴᴅᴇʀᴍᴀɴJun 24, 2022 at 22:24
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From what I can tell, the question was only ever intended to be about iteration. However, the day after it was asked, someone tried to fix the (rather poor) title - and misunderstood, giving it the title "How to reverse a list?" (which means changing around the order of the elements, not looking at the elements in a different order). The question then attracted answers for both problems, so now we have a rather confused canonical. I at least added to the title to indicate that both purposes are served here.– Karl KnechtelAug 11, 2022 at 8:15
37 Answers
To get a new reversed list, apply the reversed
function and collect the items into a list
:
>>> xs = [0, 10, 20, 40]
>>> list(reversed(xs))
[40, 20, 10, 0]
To iterate backwards through a list:
>>> xs = [0, 10, 20, 40]
>>> for x in reversed(xs):
... print(x)
40
20
10
0
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265
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180@kdlannoy According to the page linked to in the answer, "Compared to extended slicing, such as range(1,4)[::-1], reversed() is easier to read, runs faster, and uses substantially less memory. " Aug 20, 2016 at 15:55
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6When I tested this slicing was about twice as fast (when reversing a 10k elements list and creating a list from it). I did not test memory consumption though.
reverse
might be faster though, if you don't need to cast to list afterwards.– DakkaronAug 23, 2016 at 14:01 -
8worth noting that this is not the same as reverse([1,2,3]), n.b. the 'd' at the end ... which is one of the other answers below, which does this in-place, whereas this returns an iterator.– LucianoOct 8, 2016 at 9:36
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27Why use
reversed()
instead of slicing? Read the Zen of Python, rule number 7: Readability counts!– kramer65Apr 25, 2017 at 8:26
>>> xs = [0, 10, 20, 40]
>>> xs[::-1]
[40, 20, 10, 0]
Extended slice syntax is explained here. See also, documentation.
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14It works for any interable, not just lists. Disadvantage is that it's not in place.– SwissOct 15, 2010 at 7:04
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7
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3@Swiss Not in every iterable, for example,
set
is iterable, but not subscriptable.– fortranOct 15, 2010 at 7:06 -
12
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1This works exactly for what OP wants, but it is very hacky, in a way that you have to use exactly
L[::-1]
and it won't take value forstart, stop
asslice
method is defined with. Try withL[4:0:-1]
and you will see problem.– biziJan 28, 2017 at 23:06
Use list.reverse
to reverse a list in-place:
>>> xs = [0, 10, 20, 40]
>>> xs.reverse()
>>> xs
[40, 20, 10, 0]
Use slices to create a new list with the items in reverse order:
>>> xs[::-1]
[40, 20, 10, 0]
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74
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46Detail: The first modifies the list in-place, the second one just returns a new reversed list, but it doesn't modify the original one. Oct 29, 2013 at 14:02
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7the second example should be
L=L[::-1]
to actually reverse the list otherwise you're only returning the values in reverse Sep 30, 2014 at 1:53 -
let's say if i have l= [1,2,3,4,5,6] and n=2 them result must be [6,5,1,2,3,4], how can we do this Jan 24, 2015 at 6:56
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you could do this:
b = l[-n:] b.reverse() l = b + l[:len(l) - n]
Dec 10, 2015 at 9:41
Summary of Reverse Methods
There are three different built-in ways to reverse a list. Which method is best depends on whether you need to:
- Reverse an existing list in-place (altering the original list variable)
- Best solution is
object.reverse()
method
- Best solution is
- Create an iterator of the reversed list (because you are going to feed it to a for-loop, a generator, etc.)
- Best solution is
reversed(object)
which creates the iterator
- Best solution is
- Create a copy of the list, just in the reverse order (to preserve the original list)
- Best solution is using slices with a -1 step size:
object[::-1]
- Best solution is using slices with a -1 step size:
From a speed perspective, it is best to use the above built-in functions to reverse a list. For reversing, they are 2 to 8 times faster on short lists (10 items), and up to ~300+ times faster on long lists compared to a manually-created loop or generator. This makes sense - they are written in a native language (i.e. C), have experts creating them, scrutiny, and optimization. They are also less prone to defects and more likely to handle edge and corner cases.
Test Script
Put all the code snippets in this answer together to make a script that will run the different ways of reversing a list that are described below. It will time each method while running it 100,000 times. The results are shown in the last section for lists of length 2, 10, and 1000 items.
from timeit import timeit
from copy import copy
def time_str_ms(t):
return '{0:8.2f} ms'.format(t * 1000)
Method 1: Reverse in place with obj.reverse()
If the goal is just to reverse the order of the items in an existing list, without looping over them or getting a copy to work with, use the <list>.reverse()
function. Run this directly on a list object, and the order of all items will be reversed:
Note that the following will reverse the original variable that is given, even though it also returns the reversed list back. i.e. you can create a copy by using this function output. Typically, you wouldn't make a function for this, but the timing script requires it.
We test the performance of this two ways - first just reversing a list in-place (changes the original list), and then copying the list and reversing it afterward to see if that is the fastest way to create a reversed copy compared to the other methods.
def rev_in_place(mylist):
mylist.reverse()
return mylist
def rev_copy_reverse(mylist):
a = copy(mylist)
a.reverse()
return a
Method 2: Reverse a list using slices obj[::-1]
The built-in index slicing method allows you to make a copy of part of any indexed object.
- It does not affect the original object
- It builds a full list, not an iterator
The generic syntax is: <object>[first_index:last_index:step]
. To exploit slicing to create a simple reversed list, use: <list>[::-1]
. When leaving an option empty, it sets them to defaults of the first and last element of the object (reversed if the step size is negative).
Indexing allows one to use negative numbers, which count from the end of the object's index backwards (i.e. -2 is the second to last item). When the step size is negative, it will start with the last item and index backward by that amount.
def rev_slice(mylist):
a = mylist[::-1]
return a
Method 3: Reverse a list with the reversed(obj)
iterator function
There is a reversed(indexed_object)
function:
- This creates a reverse index iterator, not a list. Great if you are feeding it to a loop for better performance on large lists
- This creates a copy and does not affect the original object
Test with both a raw iterator, and creating a list from the iterator.
def reversed_iterator(mylist):
a = reversed(mylist)
return a
def reversed_with_list(mylist):
a = list(reversed(mylist))
return a
Method 4: Reverse list with Custom/Manual indexing
As the timing shows, creating your own methods of indexing is a bad idea. Use the built-in methods unless you really do need to do something custom. This simply means learning the built-in methods.
That said, there is not a huge penalty with smaller list sizes, but when you scale up the penalty becomes tremendous. The code below could be optimized, I'm sure, but it can't ever match the built-in methods as they are directly implemented in a native language.
def rev_manual_pos_gen(mylist):
max_index = len(mylist) - 1
return [ mylist[max_index - index] for index in range(len(mylist)) ]
def rev_manual_neg_gen(mylist):
## index is 0 to 9, but we need -1 to -10
return [ mylist[-index-1] for index in range(len(mylist)) ]
def rev_manual_index_loop(mylist):
a = []
reverse_index = len(mylist) - 1
for index in range(len(mylist)):
a.append(mylist[reverse_index - index])
return a
def rev_manual_loop(mylist):
a = []
reverse_index = len(mylist)
for index, _ in enumerate(mylist):
reverse_index -= 1
a.append(mylist[reverse_index])
return a
Timing each method
Following is the rest of the script to time each method of reversing. It shows reversing in place with obj.reverse()
and creating the reversed(obj)
iterator are always the fastest, while using slices is the fastest way to create a copy.
It also proves not to try to create a way of doing it on your own unless you have to!
loops_to_test = 100000
number_of_items = 10
list_to_reverse = list(range(number_of_items))
if number_of_items < 15:
print("a: {}".format(list_to_reverse))
print('Loops: {:,}'.format(loops_to_test))
# List of the functions we want to test with the timer, in print order
fcns = [rev_in_place, reversed_iterator, rev_slice, rev_copy_reverse,
reversed_with_list, rev_manual_pos_gen, rev_manual_neg_gen,
rev_manual_index_loop, rev_manual_loop]
max_name_string = max([ len(fcn.__name__) for fcn in fcns ])
for fcn in fcns:
a = copy(list_to_reverse) # copy to start fresh each loop
out_str = ' | out = {}'.format(fcn(a)) if number_of_items < 15 else ''
# Time in ms for the given # of loops on this fcn
time_str = time_str_ms(timeit(lambda: fcn(a), number=loops_to_test))
# Get the output string for this function
fcn_str = '{}(a):'.format(fcn.__name__)
# Add the correct string length to accommodate the maximum fcn name
format_str = '{{fx:{}s}} {{time}}{{rev}}'.format(max_name_string + 4)
print(format_str.format(fx=fcn_str, time=time_str, rev=out_str))
Timing Results
NOTE: Below results run on Python 3.7.9
The results show that scaling works best with the built-in methods best suited for a particular type of reversing. In other words, as the object element count increases, the built-in methods outpace the other methods by even more.
The built-in method that directly achieves what you need does better than stringing things together. i.e. slicing is best if you need a copy of the reversed list - it's faster than creating a duplicate list from list(reversed(obj))
function, and faster than making a copy of the list and then doing an in-place obj.reverse()
, but never by more than double the speed. Meanwhile - custom methods can take orders of magnitude longer with large lists.
For scaling, with a 1000 item list, the reversed(<list>)
function call takes ~30 ms to setup the iterator, reversing in-place takes just ~55 ms, using the slice method takes ~210 ms to create a copy of the full reversed list, but the quickest manual method I made took ~8400 ms.
With 2 items in the list:
a: [0, 1]
Loops: 100,000
rev_in_place(a): 24.70 ms | out = [1, 0]
reversed_iterator(a): 30.48 ms | out = <list_reverseiterator object at 0x0000020242580408>
rev_slice(a): 31.65 ms | out = [1, 0]
rev_copy_reverse(a): 63.42 ms | out = [1, 0]
reversed_with_list(a): 48.65 ms | out = [1, 0]
rev_manual_pos_gen(a): 98.94 ms | out = [1, 0]
rev_manual_neg_gen(a): 88.11 ms | out = [1, 0]
rev_manual_index_loop(a): 87.23 ms | out = [1, 0]
rev_manual_loop(a): 79.24 ms | out = [1, 0]
With 10 items in the list:
rev_in_place(a): 23.39 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
reversed_iterator(a): 30.23 ms | out = <list_reverseiterator object at 0x00000290A3CB0388>
rev_slice(a): 36.01 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
rev_copy_reverse(a): 64.67 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
reversed_with_list(a): 50.77 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
rev_manual_pos_gen(a): 162.83 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
rev_manual_neg_gen(a): 167.43 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
rev_manual_index_loop(a): 152.04 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
rev_manual_loop(a): 183.01 ms | out = [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
And with 1000 items in the list:
rev_in_place(a): 56.37 ms
reversed_iterator(a): 30.47 ms
rev_slice(a): 211.42 ms
rev_copy_reverse(a): 295.74 ms
reversed_with_list(a): 418.45 ms
rev_manual_pos_gen(a): 8410.01 ms
rev_manual_neg_gen(a): 11054.84 ms
rev_manual_index_loop(a): 10543.11 ms
rev_manual_loop(a): 15472.66 ms
Note: Dec, 2023 with Python 3.11 performance improvements
I ran a quick comparison of Python 3.7 to 3.11 (on the same PC just now) with 1 million cycles to see what difference the the 3.11 performance improvements would make. Python 3.11 was 26.5% faster on average, roughly the same for manual as for built in methods of reversing lists.
For reversing the same list use:
array.reverse()
To assign reversed list into some other list use:
newArray = array[::-1]
Using slicing, e.g. array = array[::-1], is a neat trick and very Pythonic, but a little obscure for newbies maybe. Using the reverse() method is a good way to go in day to day coding because it is easily readable.
However, if you need to reverse a list in place as in an interview question, you will likely not be able to use built in methods like these. The interviewer will be looking at how you approach the problem rather than the depth of Python knowledge, an algorithmic approach is required. The following example, using a classic swap, might be one way to do it:-
def reverse_in_place(lst): # Declare a function
size = len(lst) # Get the length of the sequence
hiindex = size - 1
its = size/2 # Number of iterations required
for i in xrange(0, its): # i is the low index pointer
temp = lst[hiindex] # Perform a classic swap
lst[hiindex] = lst[i]
lst[i] = temp
hiindex -= 1 # Decrement the high index pointer
print "Done!"
# Now test it!!
array = [2, 5, 8, 9, 12, 19, 25, 27, 32, 60, 65, 1, 7, 24, 124, 654]
print array # Print the original sequence
reverse_in_place(array) # Call the function passing the list
print array # Print reversed list
**The result:**
[2, 5, 8, 9, 12, 19, 25, 27, 32, 60, 65, 1, 7, 24, 124, 654]
Done!
[654, 124, 24, 7, 1, 65, 60, 32, 27, 25, 19, 12, 9, 8, 5, 2]
Note that this will not work on Tuples or string sequences, because strings and tuples are immutable, i.e., you cannot write into them to change elements.
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9The classic swap could be done via
lst[hiindex], lst[i] = lst[i], lst[hiindex]
, I think... ;-)– SamothMar 25, 2017 at 10:50 -
@Samoth That syntax isn't as clear and the behavior isn't exactly obvious. Distinct steps make more sense.– AnthonyJul 7, 2018 at 18:29
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why people say that things like array[::-1] are pythonic? The python zen teach us that explicit is better than implicit and readability counts. Stuff like that are not explicit and readable at all.– k4ppaAug 20, 2018 at 15:36
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3@k4ppa:
array[::-1]
is perfectly readable and perfectly explicit if you know Python. "Readable" doesn't mean "someone who has never used Python slicing before must be able to read it"; the[::-1]
reversing slice is a ridiculously common idiom in Python (you'll encounter it in existing code all the time), and it's perfectly readable if you regularly use Python. Sure,first10 = []
,for i in range(10): first10.append(array[i])
is clear and explicit, but that doesn't make it better thanfirst10 = array[:10]
. Jan 7, 2020 at 18:00 -
Why is the number of iterations size/2? What's the logic behind it? Also, what if it's length isn't an even number. Then would it be ceil(size/2) Oct 30, 2020 at 15:39
I find (contrary to some other suggestions) that l.reverse()
is by far the fastest way to reverse a long list in Python 3 and 2. I'd be interested to know if others can replicate these timings.
l[::-1]
is probably slower because it copies the list prior to reversing it. Adding the list()
call around the iterator made by reversed(l)
must add some overhead. Of course if you want a copy of the list or an iterator then use those respective methods, but if you want to just reverse the list then l.reverse()
seems to be the fastest way.
Functions
def rev_list1(l):
return l[::-1]
def rev_list2(l):
return list(reversed(l))
def rev_list3(l):
l.reverse()
return l
List
l = list(range(1000000))
Python 3.5 timings
timeit(lambda: rev_list1(l), number=1000)
# 6.48
timeit(lambda: rev_list2(l), number=1000)
# 7.13
timeit(lambda: rev_list3(l), number=1000)
# 0.44
Python 2.7 timings
timeit(lambda: rev_list1(l), number=1000)
# 6.76
timeit(lambda: rev_list2(l), number=1000)
# 9.18
timeit(lambda: rev_list3(l), number=1000)
# 0.46
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5
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You're correct
list.reverse()
is fastest, but you're penalizingreversed
(which is best used when you don't want a newlist
, just to iterate an existinglist
in reverse order without mutating the original), and the slice (which also avoids mutating the originallist
, and is typically faster thanreversed
when the input is small). Yes, if you don't need the copy, anything that copies is more expensive, but a lot of the time, you don't want to mutate the original value. Jan 7, 2020 at 18:11 -
It looks like
reversed
still loses tolist.reverse()
even so, but given it doesn't mutate the inputlist
, it's better in many cases. The loss forreversed
is small (~1/6th longer thanlist.reverse()
). Jan 7, 2020 at 18:17
for x in array[::-1]:
do stuff
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This slicing method is not very readable. The Pythonic way would be to use the reverse() method. ;-)– SimonMMay 31, 2018 at 12:21
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>>> list1 = [1,2,3]
>>> reversed_list = list(reversed(list1))
>>> reversed_list
>>> [3, 2, 1]
Using reversed(array) would be the likely best route.
>>> array = [1,2,3,4]
>>> for item in reversed(array):
>>> print item
Should you need to understand how could implement this without using the built in reversed
.
def reverse(a):
midpoint = len(a)/2
for item in a[:midpoint]:
otherside = (len(a) - a.index(item)) - 1
temp = a[otherside]
a[otherside] = a[a.index(item)]
a[a.index(item)] = temp
return a
This should take O(N) time.
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Was looking for how to do that without using the reverse function. Thanks. Jun 18, 2016 at 20:50
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Is a list, a, passed in by value or by reference? It is passed by reverence, so you do not need return a. You have modified at the original memory location of a– SimonMFeb 21, 2021 at 19:33
Another solution would be to use numpy.flip for this
import numpy as np
array = [0, 10, 20, 40]
list(np.flip(array))
[40, 20, 10, 0]
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Great, very memorable. And unlike others solutions (shame on the OP for such a non-generic test case) it works even for unsorted lists (random numbers, etc).– mirekphdAug 27, 2021 at 15:47
If you want to store the elements of reversed list in some other variable, then you can use revArray = array[::-1]
or revArray = list(reversed(array))
.
But the first variant is slightly faster:
z = range(1000000)
startTimeTic = time.time()
y = z[::-1]
print("Time: %s s" % (time.time() - startTimeTic))
f = range(1000000)
startTimeTic = time.time()
g = list(reversed(f))
print("Time: %s s" % (time.time() - startTimeTic))
Output:
Time: 0.00489711761475 s
Time: 0.00609302520752 s
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2
-
This is a bad test for two reasons. Firstly, the fact that you only test one iteration - of something that only takes a few milliseconds to execute - means the result may be a fluke. Secondly, depending upon whether you used Python 2 or Python 3,
range(1000000)
may not be a list at all, but rather arange
object, with its own__reversed__
method that presumably behaves differently from that of alist
. Jul 10, 2022 at 13:25
You can also use the bitwise complement of the array index to step through the array in reverse:
>>> array = [0, 10, 20, 40]
>>> [array[~i] for i, _ in enumerate(array)]
[40, 20, 10, 0]
Whatever you do, don't do it this way ;)
Using some logic
Using some old school logic to practice for interviews.
Swapping numbers front to back. Using two pointers
index[0] and index[last]
def reverse(array):
n = array
first = 0
last = len(array) - 1
while first < last:
holder = n[first]
n[first] = n[last]
n[last] = holder
first += 1
last -= 1
return n
input -> [-1 ,1, 2, 3, 4, 5, 6]
output -> [6, 5, 4, 3, 2, 1, -1]
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If we divide the list in two and swap the first with the last index and the time complexity will be more efficient than the sample listed. Jan 2, 2019 at 2:17
ORGANIZING VALUES:
In Python, lists' order too can be manipulated with sort, organizing your variables in numerical/alphabetical order: Temporarily:
print(sorted(my_list))
Permanent:
my_list.sort(), print(my_list)
You can sort with the flag "reverse=True":
print(sorted(my_list, reverse=True))
or
my_list.sort(reverse=True), print(my_list)
WITHOUT ORGANIZING
Maybe you do not want to sort values, but only reverse the values. Then we can do it like this:
print(list(reversed(my_list)))
**Numbers have priority over alphabet in listing order. The Python values' organization is awesome.
With minimum amount of built-in functions, assuming it's interview settings
array = [1, 2, 3, 4, 5, 6,7, 8]
inverse = [] #create container for inverse array
length = len(array) #to iterate later, returns 8
counter = length - 1 #because the 8th element is on position 7 (as python starts from 0)
for i in range(length):
inverse.append(array[counter])
counter -= 1
print(inverse)
There are 3 methods to get the reversed list:
Slicing Method 1:
reversed_array = array[-1::-1]
Slicing Method 2:
reversed_array2 = array[::-1]
Using the builtin function:
reversed_array = array.reverse()
The third function actually reversed the list object in place. That means no copy of pristine data is maintained. This is a good approach if you don't want to maintain the old version. But doesn't seem to be a solution if you do want the pristine and reversed version.
The question is not how to return a list in reverse but rather how to reverse a list with an example list name array
.
To reverse a list named "array"
use array.reverse()
.
The incredibly useful slice method as described can also be used to reverse a list in place by defining the list as a sliced modification of itself using array[:] = array[::-1]
.
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4The last sentence is not true, this does not reverse a list in place; it should say
array[:] = array[::-1]
Feb 16, 2015 at 16:17
The most direct translation of your requirement into Python is this for
statement:
for i in xrange(len(array) - 1, -1, -1):
print i, array[i]
This is rather cryptic but may be useful.
def reverse(my_list):
L = len(my_list)
for i in range(L/2):
my_list[i], my_list[L-i - 1] = my_list[L-i-1], my_list[i]
return my_list
def reverse(text):
output = []
for i in range(len(text)-1, -1, -1):
output.append(text[i])
return output
You could always treat the list like a stack just popping the elements off the top of the stack from the back end of the list. That way you take advantage of first in last out characteristics of a stack. Of course you are consuming the 1st array. I do like this method in that it's pretty intuitive in that you see one list being consumed from the back end while the other is being built from the front end.
>>> l = [1,2,3,4,5,6]; nl=[]
>>> while l:
nl.append(l.pop())
>>> print nl
[6, 5, 4, 3, 2, 1]
list_data = [1,2,3,4,5]
l = len(list_data)
i=l+1
rev_data = []
while l>0:
j=i-l
l-=1
rev_data.append(list_data[-j])
print "After Rev:- %s" %rev_data
>>> L = [1, 2, 3, 4]
>>> L = [L[-i] for i in range(1, len(L) + 1)]
>>> L
[4, 3, 2, 1]
>>> l = [1, 2, 3, 4, 5]
>>> print(reduce(lambda acc, x: [x] + acc, l, []))
[5, 4, 3, 2, 1]
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This solution is about 4.5k times slower than
l[::-1]
, and at the same time much less legible. Functional programming in Python is sadly rather slow.– DakkaronAug 23, 2016 at 13:58
Reversing in-place by switching references of opposite indices:
>>> l = [1,2,3,4,5,6,7]
>>> for i in range(len(l)//2):
... l[i], l[-1-i] = l[-1-i], l[i]
...
>>> l
[7, 6, 5, 4, 3, 2, 1]
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1Works for odd length lists!– user4776653Oct 25, 2016 at 2:01
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My solution is right! You know how python implements indexing. From right to left you have 0,1,2... and from left to right you have -1,-2,-3.. etc. To reverse a list, you cut it into two parts and you multiply the indexes on the right by their opposites on the left minus one.– user4776653Oct 25, 2016 at 18:49
Can be done using __reverse__
, which returns a generator.
>>> l = [1,2,3,4,5]
>>> for i in l.__reversed__():
... print i
...
5
4
3
2
1
>>>
Reverse of a user input values in one line code:
for i in input()[::-1]: print(i,end='')