Python中的 numpy.clip()

numpy.clip()函数用于裁剪（限制）数组中的值。

给定一个区间，区间外的值被裁剪到区间边缘。例如，如果指定区间 [0, 1]，则小于 0 的值变为 0，大于 1 的值变为 1。

Syntax : numpy.clip(a, a_min, a_max, out=None)

Parameters :
a : Array containing elements to clip.
a_min : Minimum value.
    –> If None, clipping is not performed on lower interval edge. Not more than one of a_min and a_max may be None.
a_max : Maximum value.
    –> If None, clipping is not performed on upper interval edge. Not more than one of a_min and a_max may be None.
    –> If a_min or a_max are array_like, then the three arrays will be broadcasted to match their shapes.
out : Results will be placed in this array. It may be the input array for in-place clipping. out must be of the right shape to hold the output. Its type is preserved.

Return : clipped_array

代码#1：

# Python3 code demonstrate clip() function
  
# importing the numpy
import numpy as np
  
in_array = [1, 2, 3, 4, 5, 6, 7, 8 ]
print ("Input array : ", in_array)
  
out_array = np.clip(in_array, a_min = 2, a_max = 6)
print ("Output array : ", out_array)

输出 ：

Input array :  [1, 2, 3, 4, 5, 6, 7, 8]
Output array :  [2 2 3 4 5 6 6 6]

代码#2：

# Python3 code demonstrate clip() function
  
# importing the numpy
import numpy as np
  
in_array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print ("Input array : ", in_array)
  
out_array = np.clip(in_array, a_min =[3, 4, 1, 1, 1, 4, 4, 4, 4, 4],
                                                         a_max = 9)
print ("Output array : ", out_array)

输出 ：

Input array :  [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
Output array :  [3 4 3 4 5 6 7 8 9 9]