Tuesday, November 19, 2024
Google search engine
HomeLanguagesPython – Append Missing elements from other List

Python – Append Missing elements from other List

Given 2 lists, append elements missing from list 1 to list 2.

Input : test_list1 = [5, 6, 4, 8, 9, 1], test_list2 = [9, 8, 10] 
Output : [5, 6, 4, 1, 9, 8, 10] 
Explanation : 5, 6, 4, 1 added to list 2, in order. 

Input : test_list1 = [5, 6, 4, 8, 9, 1], test_list2 = [9, 10] 
Output : [5, 6, 4, 8, 1, 9, 10] 
Explanation : 5, 6, 4, 8, 1 added to list 2, in order.

Method #1 : Using list comprehension

In this, we iterate list 1 to check for missing elements in list 2, then add these elements to list 2.

Python3




# Python3 code to demonstrate working of
# Append Missing elements from other List
# Using list comprehension
 
# initializing list
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
# extracting elements from list 1 which are not in list 2
temp1 = [ele for ele in test_list1 if ele not in test_list2]
 
# constructing result
res = temp1 + test_list2
 
# printing result
print("The modified list 2 : " + str(res))


Output

The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [5, 6, 4, 1, 9, 8, 7]

Time complexity of this approach is O(n). It requires one traversal of both the lists.
Auxiliary space:  O(n). We need an extra list to store the elements of list 1 which are not present in list 2.

Method #2: Using set() + “-” operator + extend()

In this, we check for elements of list 1 missing from list 2 using set() and – operator and extend() is used to join both the list to get desired result.

Python3




# Python3 code to demonstrate working of
# Append Missing elements from other List
# Using set() + "-" operator + extend()
 
# initializing list
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
# finding missing words
rem_list = (set(test_list1) - set(test_list2))
 
# checking order
res = [ele for ele in test_list1 if ele in rem_list]
 
# joining result
res.extend(test_list2)
 
# printing result
print("The modified list 2 : " + str(res))


Output

The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [5, 6, 4, 1, 9, 8, 7]

Time complexity: O(n*n), where n is the length of the test_list. The set() + “-” operator + extend() takes O(n*n) time.
Auxiliary Space: O(n), extra space of size n is required.

Method #3: Using Counter() function

Python3




# Python3 code to demonstrate working of
# Append Missing elements from other List
from collections import Counter
 
# initializing list
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
freq = Counter(test_list2)
res = []
for i in test_list1:
    if i not in freq.keys():
        res.append(i)
res.extend(test_list2)
 
# printing result
print("The modified list 2 : " + str(res))


Output

The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [5, 6, 4, 1, 9, 8, 7]

Time Complexity:O(n)
Auxiliary Space: O(n)

Method #4: Using Operator.countOf() method

Python3




# Python3 code to demonstrate working of
# Append Missing elements from other List
import operator as op
 
# initializing list
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
# extracting elements from list 1 which are not in list 2
temp1 = [ele for ele in test_list1 if op.countOf(test_list2,ele)==0]
 
# constructing result
res = temp1 + test_list2
 
# printing result
print("The modified list 2 : " + str(res))


Output

The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [5, 6, 4, 1, 9, 8, 7]

Time Complexity:O(N)
Auxiliary Space: O(N)

Method#5: Using Recursive method

Python3




def append_missing(l1, l2):
    if not l1:
        return l2
    if l1[0] in l2:
        return append_missing(l1[1:], l2)
    else:
        return [l1[0]] + append_missing(l1[1:], l2)
 
# initializing list
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
# result list
result = append_missing(test_list1, test_list2)
 
# printing result
print("The modified list 2 : " + str(result))
#this code contributed by tvsk


Output

The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [5, 6, 4, 1, 9, 8, 7]

Time Complexity :O(N)
Auxiliary Space: O(N)

Method#6: Using numpy:

  1. Initialize two lists test_list1 and test_list2.
  2. Print the original lists test_list1 and test_list2.
  3. Call the numpy union1d() function with test_list1 and test_list2 as arguments.
  4. Store the result in a variable named res.
  5. Print the modified list 2, which is the union of test_list1 and test_list2.

Python3




import numpy as np
 
# initializing lists
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
res = np.union1d(test_list1, test_list2)
 
# printing result
print("The modified list 2 : " + str(res.tolist()))
 
#This code is contributed by Rayudu.


Output:
The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [1, 4, 5, 6, 7, 8, 9]

Time complexity: O(m + n), where m is the size of test_list1 and n is the size of test_list2. This is because the numpy union1d() function has to go through both lists to find the union.

Auxiliary Space: O(k), where k is the size of the resulting list. This is because the numpy union1d() function creates a new array to store the result.

Method #7: Using itertools.filterfalse() method

Steps:

  1. Import the itertools module.
  2. Use the filterfalse() method to filter out the elements from test_list1 that are present in test_list2.
  3. Convert the output of the filterfalse() method into a list and store it in a variable named temp1.
  4. Concatenate temp1 and test_list2 and store the result in a variable named res.
  5. Print the modified list res.

Python3




# Python3 code to demonstrate working of
# Append Missing elements from other List
# Using itertools.filterfalse()
 
# import the itertools module
import itertools
 
# initializing list
test_list1 = [5, 6, 4, 8, 9, 1]
test_list2 = [9, 8, 7]
 
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
 
# extracting elements from list 1 which are not in list 2
temp1 = list(itertools.filterfalse(lambda ele: ele in test_list2, test_list1))
 
# constructing result
res = temp1 + test_list2
 
# printing result
print("The modified list 2 : " + str(res))


Output

The original list 1 is : [5, 6, 4, 8, 9, 1]
The original list 2 is : [9, 8, 7]
The modified list 2 : [5, 6, 4, 1, 9, 8, 7]

Time complexity: O(n)
Auxiliary space: O(n)

Dominic Rubhabha-Wardslaus
Dominic Rubhabha-Wardslaushttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
RELATED ARTICLES

Most Popular

Recent Comments