convert json to csv python

Training set for a car icon: Train.json[{"Items": [{"label_id": "0028", "bbox": [198, 268, 222]}], "image_id": "500_0ak1_rpeqjujl_nbkbyijb.jpg"},{"Items": [{"label_id": "0028", "bbox": [label_id, 117, [+]}, {"The": "0030", "bbox": [463, 102, 517, 157]}], "image_id ":" 500_0kzv_rqameftu_qgddh4lb.jpg "},....]#-*-coding:utf-8-*-import json# Open json file F=open (' E:/bdci/bdci2017/train/train.json ', ' R ') #

Two modules for serialization:JSON: Used to convert between string and python number typesOickle: Converting between Python-specific types and Python data typesThe JSON, pickle module provides four functions: dumps, dump, loads, loadUse Jsonpickle to

Specific parameters adjusted according to the actual situation1 #-*-coding:utf-8-*2 ImportJSON3 ImportXLWT4 ImportOS5 ImportSYS6 7 Reload (SYS)8Sys.setdefaultencoding ('Utf-8')9dir = OS.GETCWD (). Decode ('Utf-8')TenDirlist =Os.listdir (dir) One Printdirlist A - - defReadjson (): thes = [] - forFileinchdirlist: - if ". JSON" inchFile: -With open (file,'R') as FR:#To open a file with +data = Json.load (FR)#use the Load method in

DemoImport JSONImport requestsImport Xml.etree.ElementTree as ETDef Xmlsjondemo ():data={' statuscode ': ' $ ', ' data ': ' + ', ' age ': ' 11 '}S=json.dumps (data) #dumps: Convert dictionary to JSON stringPrint (type (s))Print (type (d))Def deme1 ():R=requests.get (R ' http://api.douban.com/v2/book/isbn/9787218087351 ')D=json.loads (R.text)S=json.dumps (d)Print (d[' msg ")Print (R.text)Print (Type (r.text)

The example in this article describes how Python implements the conversion of a class object into a JSON dictionary. Share to everyone for your reference, as follows: #-*-encoding:utf-8-*-class student:name = ' age = 0 def __init__ (self, Name, age): Self.name = name Self.ag E = agedef convert_to_dict (obj): ' Convert Object object to Dict object ' dict = {} dic

": {" Need_vcode ": 0," Str_reason ":" "," Captcha_vcode_str ":" "," Captcha_ Code_type ": 0," Userstatevcode ": 0}," is_post_visible ": 0," Mute_text ": null}}So you can see the Chinese.Another way isPrint Json.dumps (json.loads (Result), Ensure_ascii=false)The result is{"Err_code": 220012, "data": {"Vcode": {"Captcha_code_type": 0, "captcha_vcode_str": "", "Str_reason": "", "Need_vcode": 0, "Userstatevcode": 0}, "is_post_visible": 0, "access_state": null, "FID": 6428441, "automsg": "", "Conte

Serialization refers to converting the data type in memory into a string so that it can be stored on the hard disk or transmitted over the network to the remote, because the hard disk or the network can only accept bytesConverting a string into an in-memory data type is called deserialization.JSON and PickleSecond, just convert the data type into a string into memory meaningJson.dumps json.loads1. Share your memory data across the network to remote ot

Demand:1, the user's registration information is written in the JSON file2, the Read and write files to extract the repeated operation as a function, concise codeRealize:ImportJSONdefOp_data (filename,dic=None):ifDic:#If there is content, write the filewith open (filename,'W', encoding='Utf-8') as Fw:json.dump (Dic,fw,ensure_ascii=false,indent=4) Else:#no content, just read the file.With open (filename,encoding='Utf-8') as fr:returnJson.load (FR)#