python的几种序列化方式

结论: performance: marshal > cPickle > json > pickle   >>> timeit.timeit("pickle.dumps([1,2,3])","import pickle",number=10000) 0.2939901351928711 >>> timeit.timeit("json.dumps([1,2,3])","import json",number=10000) 0.09756112098693848 >>> timeit.timeit("pickle.dumps([1,2,3])","import cPickle as pickle",number=10000) 0.031056880950927734 >>> timeit.timeit("marshal.dumps([1,2,3])","import marshal", number=10000) 0.00703883171081543   引自：https://stackoverflow.com/questions/9662757/python-performance-comparison-of-using-pickle-or-marshal-and-using-re    

标签：timeit,10000,python,number,几种,dumps,import,序列化,pickle
来源： https://www.cnblogs.com/baiyiqingxiang/p/15620562.html