Python numpy.squeeze()

numpy.squeeze()函数用于当我们想从一个数组的形状中移除单维条目。

语法 : numpy.squeeze(arr, axis=None )

参数 :
arr :[array_like] 输入阵列。
axis :[无或int或ints的元组，可选] 选择形状中的单维条目的子集。如果选择的轴的形状条目大于1，会产生错误。

返回 :
squeezed[ndarray] 输入的数组，但删除了所有或部分长度为1的维度。这总是一个本身或Arr的一个视图。

代码 #1 :

# Python program explaining
# numpy.squeeze function
  
import numpy as geek
  
in_arr = geek.array([[[2, 2, 2], [2, 2, 2]]])
   
print ("Input array : ", in_arr) 
print("Shape of input array : ", in_arr.shape)  
  
out_arr = geek.squeeze(in_arr) 
  
print ("output squeezed array : ", out_arr)
print("Shape of output array : ", out_arr.shape) 

输出 :

Input array :  [[[2 2 2]
  [2 2 2]]]
Shape of input array :  (1, 2, 3)
output squeezed array :  [[2 2 2]
 [2 2 2]]
Shape of output array :  (2, 3)

代码 #2 :

# Python program explaining
# numpy.squeeze function
import numpy as geek
in_arr = geek.arange(9).reshape(1, 3, 3) 
  
print ("Input array : ", in_arr)  
out_arr = geek.squeeze(in_arr, axis = 0) 
  
print ("output array : ", out_arr)  
print("The shapes of Input and Output array : ") 
  
print(in_arr.shape, out_arr.shape)

输出 :

Input array :  [[[0 1 2]
  [3 4 5]
  [6 7 8]]]
output array :  [[0 1 2]
 [3 4 5]
 [6 7 8]]
The shapes of Input and Output array : 
(1, 3, 3) (3, 3)

注意 :

**ValueError :**
If axis is not None, and an axis being squeezed is not of length 1.

代码 #3 :

# Python program explaining
# numpy.squeeze function
# when value error occurs
import numpy as geek
  
in_arr = geek.arange(9).reshape(1, 3, 3) 
  
print ("Input array : ", in_arr)  
out_arr = geek.squeeze(in_arr, axis = 1) 
  
print ("output array : ", out_arr)  
print("The shapes of Input and Output array : ")
   
print(in_arr.shape, out_arr.shape)

输出 :

ValueError                                Traceback (most recent call last)
 in ()
      5 
      6 print ("Input array : ", in_arr)
----> 7 out_arr = geek.squeeze(in_arr, axis=1)
      8 print ("output array : ", out_arr)
      9 print("The shapes of Input and Output array : ")

~\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py in squeeze(a, axis)
   1196     try:
   1197         # First try to use the new axis= parameter
-> 1198         return squeeze(axis=axis)
   1199     except TypeError:
   1200         # For backwards compatibility

ValueError: cannot select an axis to squeeze out which has size not equal to one