What is the numpy array splicing method?

Numpy array splicing methods include the concatenate() function, stack() function and hstack() function. Detailed introduction: 1. concatenate() function: This function can splice multiple arrays along the specified axis; 2. stack() function: This function can stack multiple arrays along the specified axis, and the stacking direction can be specified. ;3. hstack() function: This function can splice multiple arrays horizontally in the horizontal direction.

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

In NumPy, you can use the concatenate() function, stack() function and hstack() function to implement array splicing. The following is how to use them:

1. concatenate() function: This function can splice multiple arrays according to the specified axis.

import numpy as np
# 创建两个数组
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
# 使用concatenate()函数按照轴0进行拼接
result = np.concatenate((arr1, arr2), axis=0)
print(result)

2. stack() function: This function can stack multiple arrays according to the specified axis, and you can specify the stacked direction.

import numpy as np
# 创建两个数组
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
# 使用stack()函数按照轴0进行垂直堆叠
result = np.stack((arr1, arr2), axis=0)
print(result)

3. hstack() function: This function can splice multiple arrays horizontally in the horizontal direction.

import numpy as np
# 创建两个数组
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
# 使用hstack()函数进行水平拼接
result = np.hstack((arr1, arr2))
print(result)

In the above example code, the concatenate() function can be spliced ​​according to the specified axis, and the stack() function can be spliced ​​according to the specified axis. The axis is stacked, and the hstack() function can be spliced ​​in the horizontal direction. According to the specific needs, choose the appropriate method to realize the splicing of arrays.

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