python之pickle模块
2021-05-23 19:31
标签：进制 方法 one none 区别 floating api with open lists pickle模块实现了用于序列化和反序列化Python对象结构的二进制协议。 pickle协议和JSON之间有根本的区别。 使用pickle序列化数据并写入文件。 读取文件中的数据并使用pickle反序列化。 输出结果： 使用pickle序列化数据。 使用pickle反序列化数据。 输出结果： 使用dump()序列化数据。 使用load()反序列化数据。 输出结果： python之pickle模块 标签：进制 方法 one none 区别 floating api with open lists 原文地址：https://www.cnblogs.com/bad-robot/p/9734434.html1、pickle
1.1、简介
1.2、可以被pickle序列化的类型
1.3、与json的比较
2、方法
2.1、dump()
import pickle
def sayhi(name):
print("hello,",name)
info = {
‘name‘:‘alex‘,
‘age‘:22,
‘func‘:sayhi
}
f = open("pickle_test_2.text","wb")
pickle.dump(info,f) #f.write( pickle.dumps( info) )
f.close()
2.2、load()
import pickle
def sayhi(name):
print("hello2,",name)
f = open("pickle_test_2.text","rb")
data = pickle.load(f) #data = pickle.loads(f.read())
print(data)
print(data["func"]("Alex"))
{‘name‘: ‘alex‘, ‘age‘: 22, ‘func‘:
2.3、dumps()
import pickle
import json
def sayhi(name):
print("hello2,", name)
info = {
‘name‘:‘alex‘,
‘age‘:22,
‘func‘:sayhi
}
f = open("pickle_test_1.text" ,"wb")
# print(json.dumps(info))
f.write(pickle.dumps(info))
f.close()
2.4、loads()
import pickle
def sayhi(name):
print("hello2,",name)
f = open("pickle_test_1.text","rb")
data = pickle.loads(f.read())
print(data["func"]("Alex"))
hello2, Alex
None
3、实例
import pickle
# An arbitrary collection of objects supported by pickle.
data = {
‘a‘: [1, 2.0, 3, 4+6j],
‘b‘: ("character string", b"byte string"),
‘c‘: {None, True, False}
}
with open(‘data.pickle‘, ‘wb‘) as f:
# Pickle the ‘data‘ dictionary using the highest protocol available.
pickle.dump(data, f, pickle.HIGHEST_PROTOCOL)
import pickle
with open(‘data.pickle‘, ‘rb‘) as f:
# The protocol version used is detected automatically, so we do not
# have to specify it.
data = pickle.load(f)
print(data)
{‘a‘: [1, 2.0, 3, (4+6j)], ‘b‘: (‘character string‘, b‘byte string‘), ‘c‘: {False, True, None}}