Transpose of matrix in python

Transpose of matrix in python

Transpose of a matrix is an operator that flips a matrix over its diagonal; i.e. it switches the row and column indices of a matrix by producing another matrix which is called the transpose of the matrix.

For example,

Order of matrix A => 3x3

Order of transpose of matrix A => 3x3

In the above example, the transpose matrix is achieved by assigning A[i][j] to 

A^T[j][i].

Procedure :

1. Start.

2. Get the matrix as input from the user.

3. Initialize the transpose matrix.

4. loop ( 0 to number of rows)

    => loop (0 to number of columns)

        => transpose[j][i] = matrix[i][j]

5. print the transpose matrix.

6. End

Code :

#function to print matrix

def printMatrix(matrix):

for i in range(len(matrix)):

for j in range(len(matrix[i])):

print(matrix[i][j], end=" ")

print()

#Get the number of rows from user

n = int(input("Enter the number of rows : "))

m = int(input("Enter the number of columns : "))

#initialize a matrix(list)

matrix = []

for row in range(n):

        #Get the elements of a row separated by space and store in a list

l = list(map(int,input("Enter elements of row separated by space : ").split(" ")))

        #append the list to the matrix list

matrix+=[l]

#initialize the transpose matrix

transpose = [[0 for x in range(n)] for y in range(m)]

#  transpose of matix

for i in range(n) :

for j in range (m):

transpose[j][i] = matrix[i][j]

#print the matrix

printMatrix(transpose)

Sample input :

=> Matrix A

Sample output :

   => Transpose of matrix A

Output screenshot :

transpose - output