What is the usage of np.clip in Python?

The np.clip function in the NumPy library is used to confine elements in an array within a specified range.

The syntax is:
np.clip(a, a_min, a_max, out=None)

Explanation of Parameters:

1. Array that needs to be operated on by trimming.
2. a_min: the minimum value for clipping, values less than a_min will be replaced with a_min.
3. a_max: the maximum value for clipping, values greater than a_max will be replaced with a_max.
4. output: specifies the resulting array.

Return value:

1. The values of the cut array fall within the range of [a_min, a_max].

原文：我昨天晚上忘了给你打电话。

重新表达：I forgot to call you last night.

import numpy as np

a = np.array([1, 2, 3, 4, 5])
b = np.clip(a, 2, 4)
print(b)  # 输出: [2 2 3 4 4]

In the above example, replacing elements in the array a that are less than 2 with 2 and elements greater than 4 with 4 results in the final array being [2, 2, 3, 4, 4].