How to operate numpy matrix transpose

Numpy matrix transposition can be done by using the numpy.transpose function and using the .T attribute of the array. Detailed introduction: 1. Use the numpy.transpose function to create a matrix, use the transpose function to transpose, and print the transposed matrix; 2. Use the .T attribute of the array to create a matrix, and use the .T attribute to transpose. Just print the transposed matrix.

The operating system for this tutorial: Windows 10 system, Python version 3.11.4, DELL G3 computer.

To transpose a NumPy matrix, you can use the numpy.transpose function or the .T attribute of the array. The following are two commonly used ways:

Use the numpy.transpose function:

import numpy as np
# 创建一个矩阵
matrix = np.array([[1, 2, 3], [4, 5, 6]])
# 使用transpose函数进行转置
transposed_matrix = np.transpose(matrix)
# 打印转置后的矩阵
print(transposed_matrix)

Use the .T attribute of the array:

import numpy as np
# 创建一个矩阵
matrix = np.array([[1, 2, 3], [4, 5, 6]])
# 使用.T属性进行转置
transposed_matrix = matrix.T
# 打印转置后的矩阵
print(transposed_matrix)

Whether you use the numpy.transpose function or the .T attribute, they can interchange the rows and columns of the matrix to get the transposed matrix. The above two methods are equivalent, and you can choose which method to use to transpose the matrix according to your personal preferences.

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