NumPy np.clip() Function Guide

The np.clip function is used to limit the value range of an array. It takes three parameters: the array a, the minimum value min (or an array of minimum values amin), and the maximum value max (or an array of maximum values amax).

When provided with a minimum and maximum value, the np.clip function will replace any elements in array a that are smaller than the minimum value with the minimum value, and any elements larger than the maximum value with the maximum value, leaving all other elements unchanged.

When both minimum and maximum value arrays are passed to the np.clip function, it restricts the elements in array a at corresponding positions within the range defined by the minimum and maximum value arrays. If the element in the minimum value array is smaller than the element in the maximum value array, the element at that position will be restricted within the range defined by the minimum and maximum value arrays; otherwise, no modifications will be made.

The following is a demonstration:

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]

c = np.array([1, 6, 3, 8, 5])
d = np.clip(c, [2, 2, 2, 2, 2], [4, 4, 4, 4, 4])
print(d)  # 输出: [2 4 3 4 4]

In the first example, the function np.clip is used to replace elements in array a that are less than 2 with 2, and elements greater than 4 with 4, resulting in [2, 2, 3, 4, 4].

In the second example, the np.clip function is used to replace elements in array c that are less than 2 with 2 and elements greater than 4 with 4, resulting in [2, 4, 3, 4, 4].