Python Program to find transpose of a matrix

Transpose of a matrix is obtained by changing rows to columns and columns to rows. In other words, transpose of A[][] is obtained by changing A[i][j] to A[j][i].

matrix-transpose

For Square Matrix :

The below program finds transpose of A[][] and stores the result in B[][], we can change N for different dimension.

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python3 Program to find
# transpose of a matrix
  
N = 4
   
# This function stores
# transpose of A[][] in B[][]
  
def transpose(A,B):
  
    for i in range(N):
        for j in range(N):
            B[i][j] = A[j][i]
  
# driver code
A = [ [1, 1, 1, 1],
    [2, 2, 2, 2],
    [3, 3, 3, 3],
    [4, 4, 4, 4]]
   
   
B = A[:][:] # To store result
  
transpose(A, B)
   
print("Result matrix is")
for i in range(N):
    for j in range(N):
        print(B[i][j], " ", end='')
    print()
      
# This code is contributed by Anant Agarwal.

chevron_right


Output:



Result matrix is
1  2  3  4  
2  2  3  4  
3  3  3  4  
4  4  4  4

For Rectangular Matrix :

The below program finds transpose of A[][] and stores the result in B[][].

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python3 Program to find
# transpose of a matrix
  
M = 3
N = 4
  
# This function stores
# transpose of A[][] in B[][]
  
def transpose(A, B):
  
    for i in range(N):
        for j in range(M):
            B[i][j] = A[j][i]
  
# driver code
A = [ [1, 1, 1, 1],
    [2, 2, 2, 2],
    [3, 3, 3, 3]]
  
  
# To store result
B = [[0 for x in range(M)] for y in range(N)] 
  
transpose(A, B)
  
print("Result matrix is")
for i in range(N):
    for j in range(M):
        print(B[i][j], " ", end='')
    print()    

chevron_right


Output:

Result matrix is
1  2  3  
1  2  3  
1  2  3  
1  2  3

In-Place for Square Matrix:

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python3 Program to find
# transpose of a matrix
  
N = 4
   
# Finds transpose of A[][] in-place
def transpose(A):
  
    for i in range(N):
        for j in range(i+1, N):
            A[i][j], A[j][i] = A[j][i], A[i][j]
  
# driver code
A = [ [1, 1, 1, 1],
    [2, 2, 2, 2],
    [3, 3, 3, 3],
    [4, 4, 4, 4]]
   
transpose(A)
   
print("Modified matrix is")
for i in range(N):
    for j in range(N):
        print(A[i][j], " ", end='')
    print()
      
# This code is contributed by Anant Agarwal.

chevron_right


Output:

Modified matrix is
1  2  3  4  
1  2  3  4  
1  2  3  4  
1  2  3  4

Please refer complete article on Program to find transpose of a matrix for more details!

Don’t stop now and take your learning to the next level. Learn all the important concepts of Data Structures and Algorithms with the help of the most trusted course: DSA Self Paced. Become industry ready at a student-friendly price.




My Personal Notes arrow_drop_up
Article Tags :
Practice Tags :


Be the First to upvote.


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.