Python | Add list elements with a multi-list based on index
Given two lists, one is a simple list and second is a multi-list, the task is to add both lists based on index.
Example:
Input: List = [1, 2, 3, 4, 5, 6] List of list = [[0], [0, 1, 2], [0, 1], [0, 1], [0, 1, 2], [0]] Output: [[1], [2, 3, 4], [3, 4], [4, 5], [5, 6, 7], [6]] Explanation: [1] = [1+0] [2, 3, 4] = [0+2, 1+2, 2+2] [3, 4] = [3+0, 3+1] [4, 5] = [4+0, 4+1] [5, 6, 7] = [5+0, 5+1, 5+2] [6] = [6+0]
Let’s discuss some methods to do this task.
Method #1: Using iteration
- Python3
Python3
# Python code to add list elements # with a multi-list based on index # List initialization List = [ 1 , 2 , 3 , 4 , 5 , 6 ] List_of_List = [[ 0 ], [ 0 , 1 , 2 ], [ 0 , 1 ], [ 0 , 1 ], [ 0 , 1 , 2 ], [ 0 ]] Output = [] # Iteration for x in range ( len ( List )): temp = [] for y in List_of_List[x]: temp.append(y + List [x]) Output.append(temp) # Printing print ("Initial list is :", List ) print ("Initial list of list is :", List_of_List) print ("Output is ", Output) |
Initial list is: [1, 2, 3, 4, 5, 6] Initial list of list is : [[0], [0, 1, 2], [0, 1], [0, 1], [0, 1, 2], [0]] Output is [[1], [2, 3, 4], [3, 4], [4, 5], [5, 6, 7], [6]]
Time Complexity: O(n*n) where n is the number of elements in the list
Auxiliary Space: O(n), where n is the number of elements in the new output list
Method #2: Using enumerate()
- Python3
Python3
# Python code to add list elements # with a multi-list based on index # List initialization List = [ 1 , 2 , 3 , 4 , 5 , 6 ] List_of_List = [[ 0 ], [ 0 , 1 , 2 ], [ 0 , 1 ], [ 0 , 1 ], [ 0 , 1 , 2 ], [ 0 ]] Output = [] # using enumerate Output = [[elem + List [x] for elem in y] for x, y in enumerate (List_of_List)] # Printing print ("Initial list is :", List ) print ("Initial list of list is :", List_of_List) print ("Output is ", Output) |
Initial list is: [1, 2, 3, 4, 5, 6] Initial list of list is : [[0], [0, 1, 2], [0, 1], [0, 1], [0, 1, 2], [0]] Output is [[1], [2, 3, 4], [3, 4], [4, 5], [5, 6, 7], [6]]
Time Complexity: O(n*n), where n is the length of the list test_list
Auxiliary Space: O(n) additional space of size n is created where n is the number of elements in the res list
Method #3: Using Zip()
- Python3
Python3
# Python code to add list elements # with a multi-list based on index # List initialization List = [ 1 , 2 , 3 , 4 , 5 , 6 ] List_of_List = [[ 0 ], [ 0 , 1 , 2 ], [ 0 , 1 ], [ 0 , 1 ], [ 0 , 1 , 2 ], [ 0 ]] Output = [] # using zip Output = [[z + x for z in y ] for x, y in zip ( List , List_of_List)] # Printing print ("Initial list is :", List ) print ("Initial list of list is :", List_of_List) print ("Output is ", Output) |
Initial list is: [1, 2, 3, 4, 5, 6] Initial list of list is : [[0], [0, 1, 2], [0, 1], [0, 1], [0, 1, 2], [0]] Output is [[1], [2, 3, 4], [3, 4], [4, 5], [5, 6, 7], [6]]
Time Complexity: O(n*n), where n is the length of the list test_list
Auxiliary Space: O(n) additional space of size n is created where n is the number of elements in the list
Method #4: Using map()
In this code, we are using the map() function to add the corresponding elements of the two lists, List and List_of_List. The map() function applies the lambda function on each element of the two lists, which adds the element of List to each element of the sublists in List_of_List.
The lambda function has two parameters, x and y, which represent the current element of List and the current sublist of List_of_List, respectively. The lambda function returns a new list which is the sublist of List_of_List with each element incremented by the corresponding element of List.
Finally, the map() function is wrapped in a call to list() to convert the map object returned by map() into a list.
- Python3
Python3
# Method #4: Using map() # Python code to add list elements # with a multi-list based on index # List initialization List = [ 1 , 2 , 3 , 4 , 5 , 6 ] List_of_List = [[ 0 ], [ 0 , 1 , 2 ], [ 0 , 1 ], [ 0 , 1 ], [ 0 , 1 , 2 ], [ 0 ]] Output = [] # Using map() to add elements of both lists Output = list ( map ( lambda x, y: [z + x for z in y], List , List_of_List)) # Printing print ( "Initial list is:" , List ) print ( "Initial list of list is :" , List_of_List) print ( "Output is" , Output) #This code is contributed by Edula Vinay Kumar Reddy |
Initial list is: [1, 2, 3, 4, 5, 6] Initial list of list is : [[0], [0, 1, 2], [0, 1], [0, 1], [0, 1, 2], [0]] Output is [[1], [2, 3, 4], [3, 4], [4, 5], [5, 6, 7], [6]]
The time complexity of this approach is O(n), where n is the length of the lists. The auxiliary space is also O(n), as we are creating a new list of the same size as the original lists.
Method #5: Using nested list comprehension
- Python3
Python3
List = [ 1 , 2 , 3 , 4 , 5 , 6 ] List_of_List = [[ 0 ], [ 0 , 1 , 2 ], [ 0 , 1 ], [ 0 , 1 ], [ 0 , 1 , 2 ], [ 0 ]] # Use a nested list comprehension to add elements of List to each sublist Output = [[y + List [x] for y in sublist] for x, sublist in enumerate (List_of_List)] # Printing print ( "Initial list is:" , List ) print ( "Initial list of list is :" , List_of_List) print ( "Output is" , Output) #This code is contributed by Vinay Pinjala. |
Initial list is: [1, 2, 3, 4, 5, 6] Initial list of list is : [[0], [0, 1, 2], [0, 1], [0, 1], [0, 1, 2], [0]] Output is [[1], [2, 3, 4], [3, 4], [4, 5], [5, 6, 7], [6]]
Time Complexity: O(n)
Auxiliary Space: O(n)