With the help ofNumpy matrix.transpose() method, we can find the transpose of the matrix by using thematrix.transpose()method inPython.

Numpy matrix.transpose() Syntax

Syntax :matrix.transpose()

Parameter: No parameters; transposes the matrix it is called on.

Return : Return transposed matrix

What is Numpy matrix.transpose()?

`numpy.matrix.transpose()` is a function in theNumPy library that computes the transpose of a matrix. It swaps the rows and columns of the matrix, effectively reflecting it along its main diagonal. The function is called on a NumPy matrix object, and it does not take any parameters. The result is a new matrix representing the transposed version of the original matrix.

NumPy Matrix transpose() - Transpose of an Array in Python

There are numerous examples of `numpy.matrix.transpose()`. Here, we illustrate commonly used instances of `numpy.matrix.transpose()` for clarity.

• Matrix Transformation
• Matrix Multiplication

NumPy Matrix Transformation

Example 1: In this example, the code uses the NumPy library to create a 2x3 matrix. It then calculates the transpose of the original matrix using the `transpose()` function. Finally, it prints both the original and transposed matrices to the console.

importnumpyasnp# Original matrixoriginal_matrix=np.matrix([[1,2,3],[4,5,6]])# Transposed matrixtransposed_matrix=original_matrix.transpose()print("Original Matrix:")print(original_matrix)print("\nTransposed Matrix:")print(transposed_matrix)

Output:

Original Matrix:[[1 2 3] [4 5 6]]Transposed Matrix:[[1 4] [2 5] [3 6]]

Example 2: In this example This Python code uses the NumPy library to create a 3x3 matrix named 'gfg'. It then applies the transpose() method to the matrix and assigns the result to 'geek'. Finally, it prints the transposed matrix 'geek'.

# import the important module in pythonimportnumpyasnp# make matrix with numpygfg=np.matrix('[4, 1, 9; 12, 3, 1; 4, 5, 6]')# applying matrix.transpose() methodgeek=gfg.transpose()print(geek)

Output:

[[ 4 12  4] [ 1  3  5] [ 9  1  6]]

Transpose of an Array Like Object

In this example code uses NumPy to create two 2x2 matrices, `matrix_a` and `matrix_b`. It then transposes `matrix_b` using the `transpose()` function and performs matrix multiplication between `matrix_a` and the transposed `matrix_b`. The result is printed to the console.

importnumpyasnp# Matrices for multiplicationmatrix_a=np.matrix([[1,2],[3,4]])matrix_b=np.matrix([[5,6],[7,8]])# Transpose one matrix before multiplicationresult=matrix_a*matrix_b.transpose()print("Result of Matrix Multiplication:")print(result)

Output:

Result of Matrix Multiplication:[[17 23] [39 53]]

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