Given a Matrix, row’s each element is list, pair each column to form coordinates.
Input : test_list = [[[9, 2], [10, 3]], [[13, 6], [19, 7]]] Output : [(9, 10), (2, 3), (13, 19), (6, 7)] Explanation : Column Mapped Pairs. Input : test_list = [[[13, 6], [19, 7]]] Output : [(13, 19), (6, 7)] Explanation : Column Mapped Pairs.
Method #1 : Using loop + zip()
In this, we iterate for all the paired elements in inner tuples list, which is paired using zip(), and append the result list.
Python3
# Python3 code to demonstrate working of # 3D Matrix to Coordinate List# Using loop + zip()# initializing listtest_list = [[[5, 6, 7], [2, 4, 6]], [[9, 2], [10, 3]], [[13, 6], [19, 7]]]# printing original listprint("The original list is : " + str(test_list))res = []for sub1, sub2 in test_list: # zip() used to form pairing for ele in zip(sub1, sub2): res.append(ele)# printing result print("Constructed Pairs : " + str(res)) |
Output
The original list is : [[[5, 6, 7], [2, 4, 6]], [[9, 2], [10, 3]], [[13, 6], [19, 7]]] Constructed Pairs : [(5, 2), (6, 4), (7, 6), (9, 10), (2, 3), (13, 19), (6, 7)]
Time Complexity: O(n^2), where n is the total number of elements in the 3D matrix.
Auxiliary Space: O(n)
Method #2 : Using list comprehension
In this, we perform task of of above method in shorthand using list comprehension.
Python3
# Python3 code to demonstrate working of # 3D Matrix to Coordinate List# Using loop + zip()# initializing listtest_list = [[[5, 6, 7], [2, 4, 6]], [[9, 2], [10, 3]], [[13, 6], [19, 7]]]# printing original listprint("The original list is : " + str(test_list))# list comprehension to perform task in shorthandres = [ele for sub1, sub2 in test_list for ele in zip(sub1, sub2)]# printing result print("Constructed Pairs : " + str(res)) |
Output
The original list is : [[[5, 6, 7], [2, 4, 6]], [[9, 2], [10, 3]], [[13, 6], [19, 7]]] Constructed Pairs : [(5, 2), (6, 4), (7, 6), (9, 10), (2, 3), (13, 19), (6, 7)]
