序列化 json 和 pickle 模块
什么是序列化 -- json
lit = [1,22,3,3,45] # [1,22,3,3,45]
s_lst = str(lit)
print(s_lst,type(s_lst))
print(list(s_lst))
print(eval(s_lst)) # 禁止使用
1.dumps loads(用来操作数据类型的（对象）)
将字符串类型的字典转换成字典类型
将字典类型转换成字符串类型
import json
lst=[1,2,34,45,6,]
s=json.dumps(lst)
print(s)
s1=json.loads(s)
print(s1)
2.dump load（用来操作文件的）
操作文件中一行数据时
import json
f=open('json_filf.json','w',encoding='utf-8')
dic=
json.dump(dic,f) # 只能写一个文件 不能创建多个字典 1.问题无法转换成中1文
f.close()
f1=open('json_filf.json')
dic2=json.load(f1)
f1.close()
print(dic2)
json序列化存储多个数据到同一个文件中
对于json 存储多个数据到文件中
import json
同时写多个内容 进行序列化
lst = [1,2,3,4,56,]
f = open("info","w",encoding="utf-8")
f.write(json.dumps(lst) + "\n")
f.write(json.dumps(lst) + "\n")
f.write(json.dumps(lst) + "\n")
f.write(json.dumps(lst) + "\n")
f.write(json.dumps(lst) + "\n")
f.close()
f = open("info",encoding='utf-8')
for line in f:
print(json.loads(line))
dump: 将对象转换(序列化)成字符串,写入文件
load: 将文件中字符串转换(反序列)成对象
loads:对多个文件操作时可以使用加for循环
pickle模块 常用来反序列化
dumps、loads
import pickle
# lst = [12,3,4,5,768]
# t_list = pickle.dumps(lst) # 转换成类似字节
# print(t_list)
# print(pickle.loads(t_list)[-1])
# dic = {"user":"郭宝元"}
# t_list = pickle.dumps(dic) # 转换成类似字节
# print(t_list)
# print(pickle.loads(t_list))
dump load 对文件进行操作
import pickle
dic =
dic =
pickle.dump(dic,open("info","wb"))
print(pickle.load(open("info","rb")))
import pickle
dic =
pickle.dump(dic,open("info","ab"))
import pickle
dic =
f = open("info","wb")
s = "\n".encode("utf-8")
f.write(pickle.dumps(dic)+ s)
f.write(pickle.dumps(dic)+ s)
f.write(pickle.dumps(dic)+ s)
f.close()
f1 = open("info","rb")
for i in f1:
print(pickle.loads(i))
可以对函数进行操作
1.
# def func():
# print(111)
# import pickle
# fun = pickle.dumps(func)
# print(fun)
# fun = pickle.dumps(func)
# print(fun)
# pickle.loads(fun)()
2.
import pickle
def func():
print(666)
ret = pickle.dumps(func)
print(ret,type(ret)) # b'\x80\x03c__main__\nfunc\nq\x00.' <class 'bytes'>
f1 = pickle.loads(ret) # f1得到 func函数的内存地址
f1() # 执行func函数
ret = pickle.dumps(func)
print(ret,type(ret)) # b'\x80\x03c__main__\nfunc\nq\x00.' <class 'bytes'>
f1 = pickle.loads(ret) # f1得到 func函数的内存地址
f1() # 执行func函数
pickle 序列化 - nb(python所有对象进行转换)
python自带的(只有python可以用)
1. dumps loads
# import pickle
# lst = [12,3,4,5,768]
# t_list = pickle.dumps(lst) # 转换成类似字节
# print(t_list)
# print(pickle.loads(t_list)[-1])
# dic = {"user":"郭宝元"}
# t_list = pickle.dumps(dic) # 转换成类似字节
# print(t_list)
# print(pickle.loads(t_list))
# def func():
# print(111)
# import json
# fun = json.dumps(func)
# print(fun)
# fun = pickle.dumps(func)
# print(fun)
# pickle.loads(fun)()
