Fall in love with the python series ------ python performance (9): namedtuple reduces memory usage

The previous article talked about __slots__ to reduce memory usage

Namedtuple can also be similar, that is, replace class with collections.namedtuple

The specific code is as follows:

from pympler.asizeof import asizesof
import collections
DaGongRen = collections.namedtuple('DaGongRen', ['id_dg', 'age','salary'])
#@profile
def test():
    d= DaGongRen(10001,18,2000) 
    #d=[ DaGongRen(10001,18,2000) for i in range(100000) ]
    #print(asizesof(d.__dict__))
    print(asizesof(d))
if __name__ == '__main__':
    test()

operation result:

[aspiree1431 opt]# python  lru_cache.py
(160,)

The running result is compared with the previous one, and the result is similar to __slots__:

the way	Occupied memory (bytes)
Not optimized	416
__slots__	152
namedtuple	160

The remaining functions are similar to the previous one, so I won’t experiment here.

Finally list the previous series:

Fall in love with the python series-python performance (eight): __slots__ reduce memory usage