nested json to csv

JSON is a bit more complex than the general format, like arrays, there are multiple layers of nesting, studied, the record code is as follows:stringJsontext ="{' name ': ' Test ', ' phone ': ' 18888888888 ', ' image ': [{' Name ': ' Img1 ', ' data ': ' data1 '},{' name ': ' Img2 ', ' data ': ' Data2 ' },{' name ': ' Img3 ', ' data ': ' Data3 '}]}"; Jobject Jo=(Jobject) jsonconvert.deserializeobject (Jsontext); stringZone = jo["name"].　　ToString (); st

How does Java read nested JSON objects through JSON? The object data content is as follows: { "Str1": 11,"STRs ":[{"Strs11": 111,"Strs12": 122,"Strs13": 133{"Strs21": 211,"Strs22": 222,"Strs23": 233}],"Str2": 22,"Str3": 33,"Str4": 44 } Key Java code:URL url = new URL ("http: // localhost/test. jspx ");Urlconnection urlconn = URL. openconnection ();Bufferedreader

that Mongovue does not support MONGODB3 versions of MongoDB Common commands: View Databases > show dbs using databases > use database-name view tables > Show tables query data > db.table-name.find ({}) query criteria > Db.table-name.find ({ ' name ':'zhangsan'}) Build an index > Db.table-name.ensureindex ({' Name ': 1}) 1 is ascending,-1 is descending Composite Index > db.table-name.ensureindex{{' name ': 1, ' Age ': 1} only query name

Boss 1 Man Old 2 2 Woman Old 3 3 Man 3. Storing JSON files Json, all called JavaScript Object Notation, is the JavaScript objects tag, which represents data through the combination of objects and arrays, is simple to construct but highly structured, and is a lightweight data interchange format. 3.1 Conversio

1. Basic commands for loading dataD3 provides methods to load different data types, such as D3.text (), D3.xml (), D3.json (), D3.csv (), and d3.html ().DOCTYPE HTML>Head> Metahttp-equiv= "Content-type"content= "text/html; charset=utf-8" /> title>Testtitle> Scripttype= "Text/javascript"src= "D3.js">Script> Head> Body> DivID= "Borderdiv">123Div> Body> Script>D3.

',' RB ')F_csv=csv.reader (f)heading=Next(f_csv)Row=namedtuple (' Row ', heading)F_csv:Row=row (*row)Row.first,Row.second,row.thirdThis makes it much more intuitive to access them. The way you look at objects is a bit too complicated. Can you use a dictionary? It is also possible and the method is more concise. Here's how.f=Open(R ' E:\py_prj\test.csv ',' RB ')F_csv=csv. Dictreader (f)F_csv:row[' first ']The same write can also be used in

,--password= forAuthentication--authenticationdatabase='s Credentials--authenticationmechanism=authentication mechanism to usenamespaceOptions:-D,--db=database to use-C,--collection=collection to Useoutput options:-F,--fields= forExporting CSV) e.g.-F"Name,age"--fieldfile=1per Line--type='JSON') (default: JSON)-O,-- out=ifNot specified, stdout isused--jsonarray o

(Json.dumps (data)) "wants to save the JSON format, can add a parameter, Indentwith open (' Data.json ', ' W ') as F: F.write (Json.dumps ( data,indent=2)) "　CSV file storageThe CSV full name is (comma-separated values), a comma-separated value or a character-delimited value, which stores tabular data in plain text, equivalent to structured plain text.It's mo

Summary:Recently, there is a small demand for projects, that is, the project development of the Division of documentation, facilitate the maintenance of later management. However, during development, the division of Labor was recorded in JSON format, so we did a download of JSON data in CSV format to local. Code: Copy Code code as follows:

Most of the time we see JSON data nested in multiple layers, like this:{"name":"Orange Mulberry", "Sex":"male", " Age": -,"Grade":{"Gname":"three years and eight classes", "Gdesc":"third day grade eight class" } }To get the JSON data of the above type, it is the following steps:1. Database queriesSql:select S.name,s.sex,s.age,g.gname,g.gdescFro

JSON has gradually become a mainstream data exchange format on the Internet due to its simple and convenient data structure. Before discussing the JSON Conversion Method for Nested objects, let's look at the simple ruby JSON conversion.First, the ruby object is converted to a JSON