Python | Reverse Sort Row Matrix integration
Often during the problem solving we come across to many problems where we need to reverse sort the list. But sometimes we would also want to reverse sort the another list so that the elements of are automatically shifted and remain at same index as the first list even after first list get reverse sorted. Let’s discuss certain ways in which this can be done.
Method #1 : Using sorted() + reverse + zip() + itemgetter()
Combining the three functions we can possibly achieve the task. The zip functions binds the two list together, sorted function sorts the list and itemgetter function is used to define the metrics against which we need second list to shift, in this case first list. The reverse sorting is handled by reverse.
# Python3 code to demonstrate # Reverse Sort Row Matrix integration # using sorted() + zip() + itemgetter() from operator import itemgetter # initializing lists test_list1 = [ 3 , 4 , 9 , 1 , 6 ] test_list2 = [ 1 , 5 , 3 , 6 , 7 ] # printing original lists print ( "The original list 1 is : " + str (test_list1)) print ( "The original list 2 is : " + str (test_list2)) # using sorted() + zip() + itemgetter() # Reverse Sort Row Matrix integration res = [ list (x) for x in zip ( * sorted ( zip (test_list1, test_list2), key = itemgetter( 0 ), reverse = True ))] # printing result print ( "The lists after integrity reverse sort : " + str (res)) |
The original list 1 is : [3, 4, 9, 1, 6] The original list 2 is : [1, 5, 3, 6, 7] The lists after integrity reverse sort : [[9, 6, 4, 3, 1], [3, 7, 5, 1, 6]]
Method #2 : Using sorted() + reverse + zip()
+ lambda function
This method performs the similar task, each function performing the similar function, the difference is just the instead of itemgetter function, lambda function performs the task of assigning a base to sort the list, i.e the first list in this case. The reverse sorting is handled by reverse.
# Python3 code to demonstrate # Reverse Sort Row Matrix integration # using sorted() + zip() + lambda function from operator import itemgetter # initializing lists test_list1 = [ 3 , 4 , 9 , 1 , 6 ] test_list2 = [ 1 , 5 , 3 , 6 , 7 ] # printing original lists print ( "The original list 1 is : " + str (test_list1)) print ( "The original list 2 is : " + str (test_list2)) # using sorted() + zip() + lambda function # Reverse Sort Row Matrix integration res = [ list (i) for i in zip ( * sorted ( zip (test_list1, test_list2), key = lambda dual: dual[ 0 ], reverse = True ))] # printing result print ( "The lists after integrity reverse sort : " + str (res)) |
The original list 1 is : [3, 4, 9, 1, 6] The original list 2 is : [1, 5, 3, 6, 7] The lists after integrity reverse sort : [[9, 6, 4, 3, 1], [3, 7, 5, 1, 6]]
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