# json pickle shelve模块 序列化# json模块 用在不同语言之间的数据传输,但是限定数据类型:str,int,list,dict,布尔值import json# 四种方法:# dumps和loads:用于网络数据传输 和 多个数据写入一个文件中dict = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}ret = json.dumps(dict,ensure_ascii=False) # {"wo": "good_person", "ni": "bad_person"}# 将dict转换 成 序列化字符串 ensure_ascii=False : 字符串中文可视化print(ret)#反序列化print(json.loads(ret))dict1 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}dict2 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}dict3 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}#多个数据写入一个文件中with open(‘json_files‘,‘w‘,encoding=‘utf-8‘) as f: ???ret1 = json.dumps(dict1,ensure_ascii=False) ???f.write(ret1+‘\n‘) ???ret2 = json.dumps(dict2,ensure_ascii=False) ???f.write(ret2+‘\n‘) ???ret3 = json.dumps(dict3,ensure_ascii=False) ???f.write(ret3+‘\n‘)with open(‘json_files‘,‘r‘,encoding=‘utf-8‘) as f1: ???for line in f1: ???????print(json.loads(line))dict1 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}dump和load:用于文件中一个数据写入一个文件中f = open(‘json_file‘,‘w‘,encoding=‘utf-8‘)json.dump(dict1,f) # 序列化f.close()f = open(‘json_file‘,‘r‘,encoding=‘utf-8‘)print(json.load(f)) #反序列化# pickle 用于Python语言之间的数据传输 适用于几乎所有数据类型import pickle# dumps loadsdict1 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}ret = pickle.dumps(dict1) # bytes类型print(ret)print(pickle.loads(ret)) #反序列化import pickledict1 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}dict2 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}dict3 = {‘wo‘:‘good_person‘,‘ni‘:‘bad_person‘}# dump load# 对文件进行读写# f = open(‘pickle_files‘,‘wb‘)# pickle.dump(dict1,f)with open(‘pickle_files‘,‘rb‘) as f1: ???while True: ???????try: ???????????print(pickle.load(f1)) ???????except EOFError: ???????????break
模块-json,pickle
原文地址:https://www.cnblogs.com/liangying666/p/9270226.html