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Python – Assigning Subsequent Rows to Matrix first row elements
  • Difficulty Level : Basic
  • Last Updated : 30 Dec, 2020
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Given a (N + 1) * N Matrix, assign each column of 1st row of matrix, the subsequent row of Matrix.

Input : test_list = [[5, 8, 10], [2, 0, 9], [5, 4, 2], [2, 3, 9]]
Output : {5: [2, 0, 9], 8: [5, 4, 2], 10: [2, 3, 9]}
Explanation : 5 paired with 2nd row, 8 with 3rd and 10 with 4th

Input : test_list = [[5, 8], [2, 0], [5, 4]]
Output : {5: [2, 0], 8: [5, 4]}
Explanation : 5 paired with 2nd row, 8 with 3rd.

Method #1 : Using dictionary comprehension

This is one of the ways in which this task can be performed. In this, we iterate for rows and corresponding columns using loop and assign value list accordingly in one-liner way using dictionary comprehension.



Python3




# Python3 code to demonstrate working of 
# Assigning Subsequent Rows to Matrix first row elements
# Using dictionary comprehension
  
# initializing list
test_list = [[5, 8, 9], [2, 0, 9], [5, 4, 2], [2, 3, 9]]
  
# printing original list
print("The original list : " + str(test_list))
  
# pairing each 1st col with next rows in Matrix
res = {test_list[0][ele] :  test_list[ele + 1] for ele in range(len(test_list) - 1)}
  
# printing result 
print("The Assigned Matrix : " + str(res))
Output
The original list : [[5, 8, 9], [2, 0, 9], [5, 4, 2], [2, 3, 9]]
The Assigned Matrix : {5: [2, 0, 9], 8: [5, 4, 2], 9: [2, 3, 9]}

Method #2 : Using zip() + list slicing + dict()

This is yet another way in which this task can be performed. In this, we slice elements to be first row and subsequent rows using list slicing and zip() performs the task of required grouping. Returned 

Python3




# Python3 code to demonstrate working of 
# Assigning Subsequent Rows to Matrix first row elements
# Using zip() + list slicing + dict()
  
# initializing list
test_list = [[5, 8, 9], [2, 0, 9], [5, 4, 2], [2, 3, 9]]
  
# printing original list
print("The original list : " + str(test_list))
  
# dict() to convert back to dict type 
# slicing and pairing using zip() and list slicing
res = dict(zip(test_list[0], test_list[1:]))
  
# printing result 
print("The Assigned Matrix : " + str(res))
Output
The original list : [[5, 8, 9], [2, 0, 9], [5, 4, 2], [2, 3, 9]]
The Assigned Matrix : {5: [2, 0, 9], 8: [5, 4, 2], 9: [2, 3, 9]}

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