What are the methods for exchanging dimensions in numpy?

Numpy methods of exchanging dimensions include using the transpose() function and the swapaxes() function. Detailed introduction: 1. Use the transpose() function: This function can transpose the dimensions of the array. You can specify the order of dimensions by passing a tuple representing the order of the new dimensions; 2. Use the swapaxes() function: The The function swaps the positions of two specified dimensions of an array.

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

In NumPy, you can use the transpose() function and swapaxes() function to exchange the dimensions of the array. The following is how to use them:

1. transpose() function: This function can transpose the dimensions of the array. You can specify the order of dimensions by passing a tuple representing the order of the new dimensions.

import numpy as np
# 创建一个3x4的二维数组
arr = np.array([[1, 2, 3, 4],
                [5, 6, 7, 8],
                [9, 10, 11, 12]])
# 使用transpose()函数交换维度
arr_transposed = np.transpose(arr)
print(arr_transposed)

2. swapaxes() function: This function can swap the positions of two specified dimensions of the array.

import numpy as np
# 创建一个3x4的二维数组
arr = np.array([[1, 2, 3, 4],
                [5, 6, 7, 8],
                [9, 10, 11, 12]])
# 使用swapaxes()函数交换维度
arr_swapped = np.swapaxes(arr, 0, 1)
print(arr_swapped)

In the above example code, both the transpose() function and the swapaxes() function can be used to exchange the dimensions of the array. The transpose() function specifies the order of dimensions by passing a tuple representing the order of the new dimensions, while the swapaxes() function implements dimension swapping by specifying the positions of the two dimensions to be swapped.

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