# Kotlin Program to Find Transpose of a Matrix

#### In this program, you’ll learn to find and print the transpose of a given matrix in Kotlin.

Transpose of a matrix is the process of swapping the rows to columns. For 2×3 matrix,

Matrix a11 a12 a13 a21 a22 a23 Transposed Matrix a11 a21 a12 a22 a13 a23

## Example: Program to Find Transpose of a Matrix

```
fun main(args: Array<String>) {
val row = 2
val column = 3
val matrix = arrayOf(intArrayOf(2, 3, 4), intArrayOf(5, 6, 4))
// Display current matrix
display(matrix)
// Transpose the matrix
val transpose = Array(column) { IntArray(row) }
for (i in 0..row - 1) {
for (j in 0..column - 1) {
transpose[j][i] = matrix[i][j]
}
}
// Display transposed matrix
display(transpose)
}
fun display(matrix: Array) {
println("The matrix is: ")
for (row in matrix) {
for (column in row) {
print("$column ")
}
println()
}
}
```

When you run the program, the output will be:

The matrix is: 2 3 4 5 6 4 The matrix is: 2 5 3 6 4 4

In the above program, `display()`

function is only used to print the contents of a matrix to the screen.

Here, the given matrix is of form `2x3`

, i.e. `row = 2`

and `column = 3`

.

For the transposed matrix, we change the order of transposed to `3x2`

, i.e. `row = 3`

and `column = 2`

. So, we have `transpose = int[column][row]`

The transpose of the matrix is calculated by simply swapping columns to rows:

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

# Python Example for Beginners

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**Practical Machine Learning:**This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.**Theoretical Machine Learning**: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.

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