# Matrix Transpose of a given Matrix of any dimension in Python3?

In this Python tutorial, we will learn how the matrix transpose of a matrix in Python.

**MATRIX ****TRANSPOSE in Python**

Matrix transpose is an operation that can be clear from the following points:

- There’s a 3X3 matrix suppose named A.
- The diagonal elements of A (00, 11, 22) acts as a mirror
- The lower triangle elements are swapped into their respective image position.
- This same for the upper triangle elements too.
- In short, the linear arrangement of 90 degrees clockwise rotated rows of the matrix.

Below picture is an example of Transpose:

Now, let’s take a look at the code snippet.

## PROGRAM: Matrix Transpose of a given Matrix of any dimension in Python

print("Dimension of the Matrix:") r=int(input("Rows=")) c=int(input("Columns=")) a=[] print("Input the elements in",r,"x",c,":") for i in range(r): l=list(map(int,input().split(","))) a.append(l) #swapping for i in range(r): for j in range(c): t=a[i][j] a[i][j]=a[j][i] a[j][i]=t print("Transpose of Matrix:") for i in range(r): for j in range(c): print(a[i][j],end=" ") print()

OUTPUT 1:

Dimension of the Matrix: Rows=3 Columns=3 Input the elements in 3 x 3 : 1,2,3 4,5,6 7,8,9 Transpose of Matrix: 1 2 3 4 5 6 7 8 9

OUTPUT 2:

Dimension of the Matrix: Rows=3 Columns=5 Input the elements in 3 x 5 : 7,5,4,6,2 1,2,3,4,5 6,7,5,4,9 Transpose of Matrix: 7 1 6 5 2 7 4 3 5 6 4 4 2 5 9

Also Read:

- Clockwise & CounterClockwise Rotation of Matrix using Numpy in Python3
- Remove spaces from a string in Python

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def transpose_matrix(matrix):

return zip(*matrix)