天津网站建设方案优化,wordpress导入doc,链接买卖,重庆市住房和城乡建设信息网官网load 和 loads 都是实现“反序列化”#xff0c;load 通过 json.load(open(*.json)) 这样的格式#xff0c;从文件句柄中打开文件#xff0c;加载到Python的变量中#xff0c;并以字典的格式转换。而 loads 必须对于 Python内存中的序列化对象转换成字符串。
load 和 load… load 和 loads 都是实现“反序列化”load 通过 json.load(open(*.json)) 这样的格式从文件句柄中打开文件加载到Python的变量中并以字典的格式转换。而 loads 必须对于 Python内存中的序列化对象转换成字符串。
load 和 loads 都是实现 “反序列化”区别在于以Python为例 loads 针对 内存对象即将 Python内置数据序列化为字串。如使用json.dumps序列化的对象d_jsonjson.dumps({a:1, b:2})在这里 d_json 是一个字串{b: 2, a: 1}djson.loads(d_json) #{ b: 2, a: 1}使用load重新反序列化为dict load 针对 文件句柄。如本地有一个 json 文件 a.json 则可以 djson.load(open(a.json))相应的dump 就是将内置类型序列化为 json 对象后写入文件 测试 ( 使用 loads ) list_1 [1,2,3,4]
dict_1 {k1:v1}
print(type(list_1)) # class str
print(type(dict_1)) # class strret json.loads(list_1)
print(ret, type(ret))ret json.loads(dict_1)
print(ret, type(ret))# 输出
# [1, 2, 3, 4] class list
# {k1: v1} class dict 测试( 使用 load )
# -*- coding: utf-8 -*-
# Time :
# Author :
# Email :
# File : parse_cinema_info.py
# Software: PyCharmimport jsondef parse_cinema_info():cinema_info_dict json.load(open(f:/bj_cinema_all_info.json, rb))all_cinemas cinema_info_dict[cinemas]cinemas_list list()for cinema in all_cinemas:d dict(cinema_idcinema[id],cinema_namecinema[nm],city北京,addresscinema[addr],telephoneNone)cinemas_list.append(d)with open(f:/bj_cinema.json, w) as f:json.dump(cinemas_list,f, ensure_asciiFalse, indent4)passif __name__ __main__:parse_cinema_info()pass
使用 dump
# -*- coding: utf-8 -*-
# Time :
# Author :
# Email :
# File : parse_cinema_hall_info.py
# Software: PyCharmimport re
import jsondef parse_file():cinema_hall_info dict()with open(f:/pipelines.log, rb) as f:all_lines f.readlines()for line in all_lines:line_str line.decode(utf-8)base_time_info re.findall(\(.*?\), line_str)if base_time_info:hall_info_list list()for base_time in base_time_info:t tuple(eval(base_time))cinema_id, hall_info t[1], t[8]if hall_info not in hall_info_list:hall_info_list.append(hall_info)cinema_hall_info[cinema_id] hall_info_listelse:# print(json.dumps(cinema_hall_info, ensure_asciiFalse))hall_info_list list()for cinema in cinema_hall_info:# print(cinema_id : {0} hall_info : {1}.format(cinema, cinema_hall_info[cinema]))d dict(cinema_idcinema,hall_infocinema_hall_info[cinema],seat_countNone)hall_info_list.append(d)else:with open(f:/bj_cinema_hall.json, w) as f:json.dump(hall_info_list, f, ensure_asciiFalse, indent4)if __name__ __main__:parse_file()pass
一个测试 json 文件 bj_cinema_all_info.json
{cinemas: [{id: 264,mark: 0,nm: 万达国际影城(CBD店),sellPrice: 48.5,addr: 朝阳区建国路93号万达广场B座3层,distance: 600m,tag: {allowRefund: 0,buyout: 0,cityCardTag: 0,deal: 0,endorse: 0,hallType: [IMAX厅,RealD 6FL厅,4DX厅],hallTypeVOList: [{name: IMAX厅,url: },{name: RealD 6FL厅,url: },{name: 4DX厅,url: }],sell: 1,snack: 1,vipTag: 折扣卡},promotion: {}},{id: 23,mark: 0,nm: 百丽宫影城(国贸店),sellPrice: 29,addr: 朝阳区建国门外大街1号国贸商城北区B1层B120,distance: 1km,tag: {allowRefund: 0,buyout: 0,cityCardTag: 0,deal: 0,endorse: 0,hallType: [RealD厅],hallTypeVOList: [{name: RealD厅,url: }],sell: 1,snack: 1},promotion: {}}],ct_pois: [{ct_poi: 936879945111165696_a15272_c223,poiid: 99082156},{ct_poi: 936879945111165696_a2378_c224,poiid: 1541434},{ct_poi: 936879945111165696_a15748_c225,poiid: 94728699}],paging: {hasMore: false,limit: 10000,offset: 0,total: 226}
}
