A matrix transpose creates a flipped version of the matrix and can be done easily in Python. In this example, you see a list comprehension that transposes a matrix.

When a matrix is transposed, its rows and columns are switched like this:

The list comprehension to do this looks like this:

def transpose_matrix(matrix): return [[row[col] for row in matrix] for col, _ in enumerate(matrix[0])]

The matrix should have a rectangular form. All rows should be of equal size and all columns should be of equal size.

Here is a test program that uses the transpose function:

matrix = [ [1, 2, 3], [4, 5, 6] ] def print_matrix(matrix): for row in matrix: print(" ".join([str(col) for col in row])) print() def transpose_matrix(matrix): return [[row[col] for row in matrix] for col, _ in enumerate(matrix[0])] print_matrix(matrix) transposed_matrix = transpose_matrix(matrix) print_matrix(transposed_matrix) transposed_again_matrix = transpose_matrix(transposed_matrix) print_matrix(transposed_again_matrix)

Output:

1 2 3 4 5 6 1 4 2 5 3 6 1 2 3 4 5 6

Written by **Loek van den Ouweland** on 2021-08-20.

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Questions regarding this artice? You can send them to the address below.