python之路-14.Json & pickle 数据序列化

14.1序列化

示例1：

#!Author:lanhan
#把字典的内存数据类型通过字符串存到硬盘上（json.dumps），仅处理字符串、列表、字典等
import json
info = {
    'name':'lanhan',
    'age':22
}
f = open("test.txt","w")
print(json.dumps(info))
f.write(json.dumps(info))
f.close()

 

示例2：   pickle可处理复杂的，如函数等

import pickle
def sayhi(name):
    print("hello",name)
info = {
    'name':'lanhan',
    'age':22,
    'func':sayhi
}
f = open("test.txt","wb")
f.write(pickle.dumps(info))

 

示例3：

import json
def sayhi(name):
    print("hello",name)
info = {
    'name':'lanhan',
    'age':22
}
f = open("test.txt","w")
f.write(json.dumps(info))
info['age'] = 21
f.write(json.dumps(info))
f.close()

 

14.2反序列化

示例1：

#!Author:lanhan
#把硬盘的数据类型恢复到内存中（json.loads），仅处理字符串、列表、字典等
import json
f = open("test.txt","r")
data = json.loads(f.read())
f.close()
print(data["age"])

 

示例2：pickle可处理复杂的，如函数等

##pickle

import pickle
def sayhi(name):
    print("hello",name)
    print("hello2",name)
f = open("test.txt","rb")
data = pickle.load(f)      ###====#data = pickle.loads(f.read())

print(data["func"]("lanhan"))

 

示例3：

#!Author:lanhan
#c错误的,说明有多个状态能够多次dump,不能多次loads，也就是说有多个状态时就dump多个文件，dump一次，就load一次
import json
f = open("test.txt","r")
for line in f:
    print(json.loads(line))
print(data)