Transpose of a matrix is nothing but exchanging the rows and columns of a matrix. We can transpose a matrix in C++ language. Generally matrix is called the elements arranged in rectangular array of rows and columns.

We can add, subtract, multiply, divide two matrixes in C++ language. For loop is the main function to transpose a matrix in C++language.

## Find Transpose of a Matrix in C++

## Source Code of Transpose of a Matrix in C++

We manually set the size of the matrix should be less than 10 in the below program. We have to enter the number of rows and elements less than 10. The user asks you to enter the elements of the matrix. It exchanges the rows and columns of the entered matrix and displays the transpose matrix.

```
#include <iostream>
using namespace std;
int main() {
int a[10][10], transpose[10][10], row, column, i, j;
cout << "Enter rows and columns of matrix: ";
cin >> row >> column;
cout << "\nEnter elements of matrix: " << endl;
// Storing matrix elements
for (int i = 0; i < row; ++i) {
for (int j = 0; j < column; ++j) {
cout << "Enter element a" << i + 1 << j + 1 << ": ";
cin >> a[i][j];
}
}
// Printing the a matrix
cout << "\nEntered Matrix: " << endl;
for (int i = 0; i < row; ++i) {
for (int j = 0; j < column; ++j) {
cout << " " << a[i][j];
if (j == column - 1)
cout << endl << endl;
}
}
// Computing transpose of the matrix
for (int i = 0; i < row; ++i)
for (int j = 0; j < column; ++j) {
transpose[j][i] = a[i][j];
}
// Printing the transpose
cout << "\nTranspose of Matrix: " << endl;
for (int i = 0; i < column; ++i)
for (int j = 0; j < row; ++j) {
cout << " " << transpose[i][j];
if (j == row - 1)
cout << endl << endl;
}
return 0;
}
```

Read Also : Find Length of a String in C++

## Output

As an example I enter 2 rows and 3 columns here. The transpose matrix has 3 rows and 2 columns.

```
Enter rows and columns of matrix: 2
3
Enter elements of matrix:
Enter element a11: 1
Enter element a12: 2
Enter element a13: 9
Enter element a21: 0
Enter element a22: 4
Enter element a23: 7
Entered Matrix:
1 2 9
0 4 7
Transpose of Matrix:
1 0
2 4
9 7
```

## Final Words

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