json,pickle模块

序列化： dumps 把内存的数据结构保存下来 import json dic={'a':1} res1=json.dumps(dic) re2=str(dic) print(res1,type(res1)) #json格式都是用的双引号 print(res2,type(res2)) x=None res=json.dumps(x) print(res,type(res)) import json #把python格式转化为json格式 user={'name':'xiaoxiao','age':18,'ng':True} with open('user.json','w',encoding='utf-8') as f: f.write(json.dumps(user)) import json #同上 user={'name':'xiaoxiao','age':18,'ng':True} json.dump(user,open('user_new.json','w',enccoding='utf-8')) #dump合并成一行 反序列化：loads import json with open('user.json','r',encoding='utf-8') as f: user=json.loads(f.read()) #以json格式读取文件内容 print(user.['name']) import json u=json.load(open('user.json','r',encoding='utf-8')) #同上，load合并成一行 print(u['age']) json_res={"name":'xi'} #json只能用双引号 print(json.load(json_res)) pickle：序列化，能支持所有的Python类型，并以byte类型打开 improt pickle,json s={1,2,3,4} #print(json.dumps(s)) print(pickle.dumps(s)) with open('s.pkl','wb') as f: f.write(pickle.dumps(s)) pickle.dump(s,open('s.pkl','wb')) #同上 #pickle反序列化 import pickle with open('s.pkl','rb') as f: s=pickle.loads(f.read()) print(s,type(s)) s=pickle.load(open('s.pkl','rb')) #同上 print(s,type(s))