如何在Python中获得对象在内存中占用的大小?
当前回答
我用这个技巧…May在小对象上不准确,但我认为对于复杂对象(如pygame surface)比sys.getsizeof()更准确。
import pygame as pg
import os
import psutil
import time
process = psutil.Process(os.getpid())
pg.init()
vocab = ['hello', 'me', 'you', 'she', 'he', 'they', 'we',
'should', 'why?', 'necessarily', 'do', 'that']
font = pg.font.SysFont("monospace", 100, True)
dct = {}
newMem = process.memory_info().rss # don't mind this line
Str = f'store ' + f'Nothing \tsurface use about '.expandtabs(15) + \
f'0\t bytes'.expandtabs(9) # don't mind this assignment too
usedMem = process.memory_info().rss
for word in vocab:
dct[word] = font.render(word, True, pg.Color("#000000"))
time.sleep(0.1) # wait a moment
# get total used memory of this script:
newMem = process.memory_info().rss
Str = f'store ' + f'{word}\tsurface use about '.expandtabs(15) + \
f'{newMem - usedMem}\t bytes'.expandtabs(9)
print(Str)
usedMem = newMem
在我的windows 10, python 3.7.3,输出是:
store hello surface use about 225280 bytes
store me surface use about 61440 bytes
store you surface use about 94208 bytes
store she surface use about 81920 bytes
store he surface use about 53248 bytes
store they surface use about 114688 bytes
store we surface use about 57344 bytes
store should surface use about 172032 bytes
store why? surface use about 110592 bytes
store necessarily surface use about 311296 bytes
store do surface use about 57344 bytes
store that surface use about 110592 bytes
其他回答
我用这个技巧…May在小对象上不准确,但我认为对于复杂对象(如pygame surface)比sys.getsizeof()更准确。
import pygame as pg
import os
import psutil
import time
process = psutil.Process(os.getpid())
pg.init()
vocab = ['hello', 'me', 'you', 'she', 'he', 'they', 'we',
'should', 'why?', 'necessarily', 'do', 'that']
font = pg.font.SysFont("monospace", 100, True)
dct = {}
newMem = process.memory_info().rss # don't mind this line
Str = f'store ' + f'Nothing \tsurface use about '.expandtabs(15) + \
f'0\t bytes'.expandtabs(9) # don't mind this assignment too
usedMem = process.memory_info().rss
for word in vocab:
dct[word] = font.render(word, True, pg.Color("#000000"))
time.sleep(0.1) # wait a moment
# get total used memory of this script:
newMem = process.memory_info().rss
Str = f'store ' + f'{word}\tsurface use about '.expandtabs(15) + \
f'{newMem - usedMem}\t bytes'.expandtabs(9)
print(Str)
usedMem = newMem
在我的windows 10, python 3.7.3,输出是:
store hello surface use about 225280 bytes
store me surface use about 61440 bytes
store you surface use about 94208 bytes
store she surface use about 81920 bytes
store he surface use about 53248 bytes
store they surface use about 114688 bytes
store we surface use about 57344 bytes
store should surface use about 172032 bytes
store why? surface use about 110592 bytes
store necessarily surface use about 311296 bytes
store do surface use about 57344 bytes
store that surface use about 110592 bytes
我自己也遇到过很多次这个问题,我写了一个小函数(受到@aaron-hall的回答的启发)和测试,它完成了我所期望的sys。Getsizeof to do:
https://github.com/bosswissam/pysize
如果你对背景故事感兴趣,这就是
编辑:附上下面的代码以方便参考。要查看最新的代码,请检查github链接。
import sys
def get_size(obj, seen=None):
"""Recursively finds size of objects"""
size = sys.getsizeof(obj)
if seen is None:
seen = set()
obj_id = id(obj)
if obj_id in seen:
return 0
# Important mark as seen *before* entering recursion to gracefully handle
# self-referential objects
seen.add(obj_id)
if isinstance(obj, dict):
size += sum([get_size(v, seen) for v in obj.values()])
size += sum([get_size(k, seen) for k in obj.keys()])
elif hasattr(obj, '__dict__'):
size += get_size(obj.__dict__, seen)
elif hasattr(obj, '__iter__') and not isinstance(obj, (str, bytes, bytearray)):
size += sum([get_size(i, seen) for i in obj])
return size
使用以下函数获取python对象的实际大小:
import sys
import gc
def actualsize(input_obj):
memory_size = 0
ids = set()
objects = [input_obj]
while objects:
new = []
for obj in objects:
if id(obj) not in ids:
ids.add(id(obj))
memory_size += sys.getsizeof(obj)
new.append(obj)
objects = gc.get_referents(*new)
return memory_size
actualsize([1, 2, [3, 4, 5, 1]])
参考:https://towardsdatascience.com/the-strange-size-of-python-objects-in-memory-ce87bdfbb97f
Pympler包的asizeof模块可以做到这一点。
使用方法如下:
from pympler import asizeof
asizeof.asizeof(my_object)
不像系统。Getsizeof,它适用于你自己创建的对象。它甚至可以与numpy一起工作。
>>> asizeof.asizeof(tuple('bcd'))
200
>>> asizeof.asizeof({'foo': 'bar', 'baz': 'bar'})
400
>>> asizeof.asizeof({})
280
>>> asizeof.asizeof({'foo':'bar'})
360
>>> asizeof.asizeof('foo')
40
>>> asizeof.asizeof(Bar())
352
>>> asizeof.asizeof(Bar().__dict__)
280
>>> A = rand(10)
>>> B = rand(10000)
>>> asizeof.asizeof(A)
176
>>> asizeof.asizeof(B)
80096
正如前面提到的,
可以通过设置option code=True来包含类、函数、方法、模块等对象的(字节)代码大小。
如果你需要实时数据的其他视图,请选择Pympler
模块muppy用于在线监控Python应用程序 和模块类跟踪器提供的生命周期的离线分析 选择Python对象。
如果不想包含链接(嵌套)对象的大小,请使用sys.getsizeof()。
然而,如果你想计算嵌套在列表、字典、集、元组中的子对象——通常这就是你要找的——使用如下所示的递归深层sizeof()函数:
import sys
def sizeof(obj):
size = sys.getsizeof(obj)
if isinstance(obj, dict): return size + sum(map(sizeof, obj.keys())) + sum(map(sizeof, obj.values()))
if isinstance(obj, (list, tuple, set, frozenset)): return size + sum(map(sizeof, obj))
return size
你也可以在漂亮的工具箱中找到这个函数,以及许多其他有用的一行程序:
https://github.com/mwojnars/nifty/blob/master/util.py
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