Given parallel lists, how can I sort one while permuting (rearranging) the other in the same way?

You can use the zip() and sort() functions to accomplish this:

Python 2.6.5 (r265:79063, Jun 12 2010, 17:07:01)
[GCC 4.3.4 20090804 (release) 1] on cygwin
>>> list1 = [3,2,4,1,1]
>>> list2 = ['three', 'two', 'four', 'one', 'one2']
>>> zipped = zip(list1, list2)
>>> zipped.sort()
>>> slist1 = [i for (i, s) in zipped]
>>> slist1
[1, 1, 2, 3, 4]
>>> slist2 = [s for (i, s) in zipped]
>>> slist2
['one', 'one2', 'two', 'three', 'four']

Hope this helps

This can be done using what Perl programmers call the Schwartzian transform, also known as the decorate-sort-undecorate idiom. The built-in Python sorting is stable, so the two 1s don’t cause a problem.

>>> l1 = [3, 2, 4, 1, 1]
>>> l2 = ['three', 'two', 'four', 'one', 'second one']
>>> zip(*sorted(zip(l1, l2)))
[(1, 1, 2, 3, 4), ('one', 'second one', 'two', 'three', 'four')]

What about:

list1 = [3,2,4,1, 1]
list2 = ['three', 'two', 'four', 'one', 'one2']

sortedRes = sorted(zip(list1, list2), key=lambda x: x[0]) # use 0 or 1 depending on what you want to sort
>>> [(1, 'one'), (1, 'one2'), (2, 'two'), (3, 'three'), (4, 'four')]

You can sort indexes using values as keys:

indexes = range(len(list1))
indexes.sort(key=list1.__getitem__)

To get sorted lists given sorted indexes:

sorted_list1 = map(list1.__getitem__, indexes)
sorted_list2 = map(list2.__getitem__, indexes)

In your case you shouldn’t have list1, list2 but rather a single list of pairs:

data = [(3, 'three'), (2, 'two'), (4, 'four'), (1, 'one'), (1, 'one2')]

It is easy to create; it is easy to sort in Python:

data.sort() # sort using a pair as a key

Sort by the first value only:

data.sort(key=lambda pair: pair[0])

One way is to track where each index goes to by sorting the identity [0,1,2,..n]

This works for any number of lists.

Then move each item to its position. Using splices is best.

list1 = [3,2,4,1, 1]
list2 = ['three', 'two', 'four', 'one', 'one2']

index = list(range(len(list1)))
print(index)
'[0, 1, 2, 3, 4]'

index.sort(key = list1.__getitem__)
print(index)
'[3, 4, 1, 0, 2]'

list1[:] = [list1[i] for i in index]
list2[:] = [list2[i] for i in index]

print(list1)
print(list2)
'[1, 1, 2, 3, 4]'
"['one', 'one2', 'two', 'three', 'four']"

Note we could have iterated the lists without even sorting them:

list1_iter = (list1[i] for i in index)

I have used the answer given by senderle for a long time until I discovered np.argsort.
Here is how it works.

# idx works on np.array and not lists.
list1 = np.array([3,2,4,1])
list2 = np.array(["three","two","four","one"])
idx   = np.argsort(list1)

list1 = np.array(list1)[idx]
list2 = np.array(list2)[idx]

I find this solution more intuitive, and it works really well. The perfomance:

def sorting(l1, l2):
    # l1 and l2 has to be numpy arrays
    idx = np.argsort(l1)
    return l1[idx], l2[idx]

# list1 and list2 are np.arrays here...
%timeit sorting(list1, list2)
100000 loops, best of 3: 3.53 us per loop

# This works best when the lists are NOT np.array
%timeit zip(*sorted(zip(list1, list2)))
100000 loops, best of 3: 2.41 us per loop

# 0.01us better for np.array (I think this is negligible)
%timeit tups = zip(list1, list2); tups.sort(); zip(*tups)
100000 loops, best for 3 loops: 1.96 us per loop

Even though np.argsort isn’t the fastest one, I find it easier to use.

You can use the key argument in sorted() method unless you have two same values in list2.

The code is given below:

sorted(list2, key = lambda x: list1[list2.index(x)]) 

It sorts list2 according to corresponding values in list1, but make sure that while using this, no two values in list2 evaluate to be equal because list.index() function give the first value

newsource=[];newtarget=[]
for valueT in targetFiles:
    for valueS in sourceFiles:
            l1=len(valueS);l2=len(valueT);
            j=0
            while (j< l1):
                    if (str(valueT) == valueS[j:l1]) :
                            newsource.append(valueS)
                            newtarget.append(valueT)
                    j+=1

an algorithmic solution:

list1 = [3,2,4,1, 1]
list2 = ['three', 'two', 'four', 'one', 'one2']


lis = [(list1[i], list2[i]) for i in range(len(list1))]
list1.sort()
list2 = [x[1] for i in range(len(list1)) for x in lis if x[0] == i]

Outputs: -> Output speed: 0.2s

>>>list1
>>>[1, 1, 2, 3, 4]
>>>list2
>>>['one', 'one2', 'two', 'three', 'four']

Another approach to retaining the order of a string list when sorting against another list is as follows:

list1 = [3,2,4,1, 1]
list2 = ['three', 'two', 'four', 'one', 'one2']

# sort on list1 while retaining order of string list
sorted_list1 = [y for _,y in sorted(zip(list1,list2),key=lambda x: x[0])]
sorted_list2 = sorted(list1)

print(sorted_list1)
print(sorted_list2)

output

['one', 'one2', 'two', 'three', 'four']
[1, 1, 2, 3, 4]

I would like to expand open jfs’s answer, which worked great for my problem: sorting two lists by a third, decorated list:

We can create our decorated list in any way, but in this case we will create it from the elements of one of the two original lists, that we want to sort:

# say we have the following list and we want to sort both by the algorithms name 
# (if we were to sort by the string_list, it would sort by the numerical 
# value in the strings)
string_list = ["0.123 Algo. XYZ", "0.345 Algo. BCD", "0.987 Algo. ABC"]
dict_list = [{"dict_xyz": "XYZ"}, {"dict_bcd": "BCD"}, {"dict_abc": "ABC"}]

# thus we need to create the decorator list, which we can now use to sort
decorated = [text[6:] for text in string_list]  
# decorated list to sort
>>> decorated
['Algo. XYZ', 'Algo. BCD', 'Algo. ABC']

Now we can apply jfs’s solution to sort our two lists by the third

# create and sort the list of indices
sorted_indices = list(range(len(string_list)))
sorted_indices.sort(key=decorated.__getitem__)

# map sorted indices to the two, original lists
sorted_stringList = list(map(string_list.__getitem__, sorted_indices))
sorted_dictList = list(map(dict_list.__getitem__, sorted_indices))

# output
>>> sorted_stringList
['0.987 Algo. ABC', '0.345 Algo. BCD', '0.123 Algo. XYZ']
>>> sorted_dictList
[{'dict_abc': 'ABC'}, {'dict_bcd': 'BCD'}, {'dict_xyz': 'XYZ'}]

If you are using numpy you can use np.argsort to get the sorted indices and apply those indices to the list. This works for any number of list that you would want to sort.

import numpy as np

arr1 = np.array([4,3,1,32,21])
arr2 = arr1 * 10
sorted_idxs = np.argsort(arr1)

print(sorted_idxs)
>>> array([2, 1, 0, 4, 3])

print(arr1[sorted_idxs])
>>> array([ 1,  3,  4, 21, 32])

print(arr2[sorted_idxs])
>>> array([ 10,  30,  40, 210, 320])

I would like to suggest a solution if you need to sort more than 2 lists in sync:

def SortAndSyncList_Multi(ListToSort, *ListsToSync):
    y = sorted(zip(ListToSort, zip(*ListsToSync)))
    w = [n for n in zip(*y)]
    return list(w[0]), tuple(list(a) for a in zip(*w[1]))

Based on @pylang’s answer to the duplicate question I just closed, the necessary algorithm is implemented in the popular third-party library more_itertools, as sort_together.

Thus:

from more_itertools import sort_together

list1 = [3, 2, 4, 1, 1]
list2 = ['three', 'two', 'four', 'one', 'one2']

list1, list2 = sort_together(list1, list2)

Sort two List Parllerly in python(Sorted By decimal value)

a = ['a','b','c','d','e','f']
b = ['0.23','80.00','5.01','6.58','1.38','79.06']
c=sorted(b,key=lambda x:float(x))
d=[]
for i in range(len(a)):
    d.append(a[b.index(c[i])])