Python numpy.shares_memory()用法及代码示例

numpy.shares_memory()函数确定两个阵列是否共享内存。

用法： numpy.shares_memory(arr1, arr2, max_work = None)

参数：

arr1, arr2: [ndarray] Input arrays.

max_work: [int, optional] Effort to spend on solving the overlap problem.

返回： [bool] Checking if two arrays share memory.

代码1：

# Python program explaining 
# numpy.shares_memory() function 
            
# importing numpy as geek  
import numpy as geek  
   
arr1 = geek.array([1, 2, 3, 4]) 
arr2 = geek.array([5, 6, 7]) 
  
gfg = geek.shares_memory(arr1, arr2) 
      
print (gfg)

输出：

False

代码2：

# Python program explaining 
# numpy.shares_memory() function 
            
# importing numpy as geek  
import numpy as geek  
   
arr1 = geek.array([1, 2, 3, 4]) 
arr2 = arr1[::2] 
  
gfg = geek.shares_memory(arr1, arr2) 
      
print (gfg)

输出：

True

相关用法

注：本文由纯净天空筛选整理自sanjoy_62大神的英文原创作品 numpy.shares_memory() function – Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。