查找一个NumPy数组的内存大小

在这篇文章中，我们将看到如何找到NumPy数组的内存大小。因此，为了找到NumPy数组的内存大小，我们使用以下方法。

使用NumPy数组的size和itemsize属性

size:该属性给出了NumPy数组中存在的元素数量。

itemsize:该属性给出了NumPy数组中一个元素的内存大小，单位为字节。

示例 1:

# import library
import numpy as np
 
# create a numpy 1d-array
x = np.array([100,20,34])
 
print("Size of the array: ",
      x.size)
 
print("Memory size of one array element in bytes: ",
      x.itemsize)
 
# memory size of numpy array in bytes
print("Memory size of numpy array in bytes:",
      x.size * x.itemsize)

输出:

Size of the array:  3
Memory size of one array element in bytes:  4
Memory size of numpy array in bytes: 12

示例 2:

# import library
import numpy as np
 
# create a numpy 2d-array
x = np.array([[100, 20, 34],
              [300, 400, 600]])
 
print("Size of the array: ",
      x.size)
 
print("Memory size of one array element in bytes: ",
      x.itemsize)
 
# memory size of numpy array
print("Memory size of numpy array in bytes:",
      x.size * x.itemsize)

输出:

Size of the array:  6
Length of one array element in bytes:  4
Memory size of numpy array in bytes: 24

使用NumPy数组的nbytes属性

nbytes:该属性给出了NumPy数组的元素所消耗的总字节数。

示例 1:

import numpy as n
from sys import getsizeof
 
l = [0] * 10
a = np.array(l)
 
print(getsizeof(l))
 
print(l.nbytes)

输出:

136
40

示例 2:

# import library
import numpy as np
 
# create numpy 1d-array
x = np.array([100, 20, 34])
 
print("Memory size of a NumPy array:",
      x.nbytes)

输出:

Memory size of a NumPy array: 12

示例 3:

# import library
import numpy as np
 
# create numpy 2d-array
x = np.array([[100, 20, 34],
              [300, 400, 600]])
 
print("Memory size of a NumPy array:",
      x.nbytes)