10 examples of 'sort list of lists by first element python' in Python

Every line of 'sort list of lists by first element python' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to
this disclaimer
70def sorted(lst, cmp=None, key=None, reverse=None):
71 "sorted(iterable, cmp=None, key=None, reverse=False) --> new sorted list"
72 sorted_lst = list(lst)
73 sorted_lst.sort(cmp, key, reverse)
74 return sorted_lst
Important

Use secure code every time

Secure your code as it's written. Use Snyk Code to scan source code in minutes – no build needed – and fix issues immediately. Enable Snyk Code

22def Quick_Sort(list):
23 Quick(list, 0, len(list) - 1)
23def qsort(lst):
24 """Return a sorted copy of the input list.
25
26 Input:
27
28 lst : a list of elements which can be compared.
29
30 Examples:
31
32 >>> qsort([])
33 []
34
35 >>> qsort([3,2,5])
36 [2, 3, 5]
37 """
38
39 #@ Hint: remember that all recursive functions need an exit condition
40 if len(lst) <= 1: #@
41 return lst #@
42
43 #@ Select pivot and apply recursively
44 pivot, rest = lst[0],lst[1:] #@
45 less_than = [ lt for lt in rest if lt < pivot ] #@
46 greater_equal = [ ge for ge in rest if ge >= pivot ] #@
47
48 #@ Upon return, make sure to properly concatenate the output lists
49 return qsort(less_than) + [pivot] + qsort(greater_equal) #@
5def qsort(lst):
6 """ Quick sort: returns a sorted copy of the list.
7 """
8 # Implement the quick sort logic here
9 return lst
909""" Contains(self: Queue[T], item: T) -> bool """
910pass
15def SortTwoLists(primary, secondary):
16 # sort two lists by order of elements of the primary list
17 paired_sorted = sorted(zip(primary, secondary), key=lambda x: x[0])
18 return (map(list, zip(*paired_sorted))) # two lists
40def testLtSort(self):
41 self.run_test(lt_sort, self.source)
27def quick_sort(myList, start, end):
28 if start < end:
29 # partitioning the list
30 split = partition(myList, start, end)
31 # split halves & sort both halves
32 quick_sort(myList, start, split - 1)
33 quick_sort(myList, split + 1, end)
34 return myList
10def unordered_list_cmp(list1, list2):
11 # Check lengths first for slight improvement in performance
12 return len(list1) == len(list2) and sorted(list1) == sorted(list2)
14def shell_sort(collection):
15 """Pure implementation of shell sort algorithm in Python
16 :param collection: Some mutable ordered collection with heterogeneous
17 comparable items inside
18 :return: the same collection ordered by ascending
19
20 >>> shell_sort([0, 5, 3, 2, 2])
21 [0, 2, 2, 3, 5]
22
23 >>> shell_sort([])
24 []
25
26 >>> shell_sort([-2, -5, -45])
27 [-45, -5, -2]
28 """
29 # Marcin Ciura's gap sequence
30 gaps = [701, 301, 132, 57, 23, 10, 4, 1]
31
32 for gap in gaps:
33 i = gap
34 while i < len(collection):
35 temp = collection[i]
36 j = i
37 while j >= gap and collection[j - gap] > temp:
38 collection[j] = collection[j - gap]
39 j -= gap
40 collection[j] = temp
41 i += 1
42
43 return collection

Related snippets