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csvjson

v5.1.0

Published

convert csv to json and json to csv

Downloads

277,694

Readme

csvjson

Simple CSV to JSON and JSON to CSV converter with stream support

for Node.js and Browser.

© Pradeep Mishra, Licensed under the MIT-LICENSE

Features

  • CSV to JSON object
  • CSV to schema JSON object
  • CSV to array object
  • CSV to column array object
  • JSON object to CSV
  • JSON array to CSV
  • Stream support

Example usage

var csvjson = require('csvjson');

/*
    sample.csv

    sr,name,age,gender
    1,rocky,33,male
    2,jacky,22,male
    3,suzy,21,female

*/


/*
    schema_sample.csv

    created,contact.name,contact.age+,contact.number+,address[],address[],contact.hobbies[],contact.hobbies[],-id
    2014-11-12,Pradeep,25,4352436,MG Road,Mumbai,pc games,guitar,5
    2014-10-06,Arnav,16,7364537,KB Road,Mumbai,pc games,traveling,7


*/


/*
schema_sample2.csv

name,age,contacts[0].name,contacts[0].phone,contacts[1].name,contacts[1].phone,musician,instruments.past,instruments.current[],instruments.current[]
Mark,33,Jim Palmer,8888888888,Marcus Aurelius,7309899877,Yes,Guitar,Drums,Bass Guitar
Jeff,27,John Doe,8009008000,Michael Corleone,2121001000,Yes,Drums,Flute,Trumpet

*/

/*
jsoncsv.json


{
 "book": {
   "person": [
     {
       "firstName": "Jane",
       "lastName": "Doe",
       "age": "25",
       "address": {
         "streetAddress": "21 2nd Street",
         "city": "Las Vegas",
         "state": "NV",
         "postalCode": "10021-3100"
       },
       "hobbies" : ["gaming", "volleyball"]
     },
     {
       "firstName": "Agatha",
       "lastName": "Doe",
       "age": "25",
       "address": {
         "streetAddress": "21 2nd Street",
         "city": "Las Vegas",
         "state": "NV",
         "postalCode": "10021-3100"
       },
       "hobbies" : ["dancing", "politics"]
     }
   ]
 }
}


*/

convert csv data to json object

var data = fs.readFileSync(path.join(__dirname, 'schema_sample2.csv'), { encoding : 'utf8'});
/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};
// for multiple delimiter you can use regex pattern like this /[,|;]+/

/* 
  for importing headers from different source you can use headers property in options 
  var options = {
    headers : "sr,name,age,gender"
  };
*/

csvjson.toObject(data, options);

/*
    returns

    [
        {
            sr : 1,
            name : "rocky",
            age : 33,
            gender : "male"
        },
        {
            sr : 2,
            name : "jacky",
            age : 22,
            gender : "male"
        },
        {
            sr : 3,
            name : "suzy",
            age : 21,
            gender : "female"
        }

    ]

*/

convert csv data to schema json object


/*
    for creating schema of json object following key can be used in header of csv file:

    .   for defining nested json object
    []  for defining data as array (suffix)
        -- can add delimiter in the array (i.e. [;] for delimiter of ;)
        -- can nest objects in the array, index must be listed (i.e. [1] for index 1)
    +   for defining data as integer (suffix)
    -   for omitting data from result output (prefix)

*/


/*
    schema_sample.csv

    created,contact.name,contact.age+,contact.number+,address[],address[],contact.hobbies[;],-id,friends[0].name,friends[0].phone,friends[1].name,friends[1].phone
    2014-11-12,Pradeep,25,4352436,MG Road,Mumbai,pc games; guitar,5,Jeff,8761234567,Mike,1234567890
    2014-10-06,Arnav,16,7364537,KB Road,Mumbai,pc games; traveling,7,Steve,555555555,Pradeep,4352436

*/

var data = fs.readFileSync(path.join(__dirname, 'schema_sample.csv'), { encoding : 'utf8'});
/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};

// for multiple delimiter you can use regex pattern like this /[,|;]+/

/* 
  for importing headers from different source you can use headers property in options 
  var options = {
    headers : "created,contact.name,contact.age+,contact.number+,address[],address[],contact.hobbies[;],-id,friends[0].name,friends[0].phone,friends[1].name,friends[1].phone"
  };
*/

csvjson.toSchemaObject(data, options)

/*
    returns

    [
        {
            "created":"2014-11-12",
            "contact":{
                "name":"Pradeep","
                age":25,
                "number":4352436,
                "hobbies":["pc games","guitar"]

            },
            "address":["MG Road","Mumbai"],
            "friends":[
                {
                    "name": "Jeff",
                    "phone": "8761234567"
                },
                {
                    "name": "Mike",
                    "phone": "1234567890"
                }
            ]
        },
        {
            "created":"2014-10-06",
            "contact":{"
                name":"Arnav",
                "age":16,
                "number":7364537,
                "hobbies":["pc games","traveling"]

            },
            "address":["KB Road","Mumbai"],
            "friends":[
                {
                    "name": "Steve",
                    "phone": "5555555555"
                },
                {
                    "name": "Pradeep",
                    "phone": "4352436"
                }
            ]
        }

    ]


*/

convert csv data to array object


var data = fs.readFileSync(path.join(__dirname, 'sample.csv'), { encoding : 'utf8'});

/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};

// for multiple delimiter you can use regex pattern like this /[,|;]+/

csvjson.toArray(data, options);

/*
    returns
    [
        ["sr","name","age","gender"],
        ["1","rocky","33","male"],
        ["2","jacky","22","male"],
        ["3","suzy","21","female"]
    ]

*/

convert csv data to column array object


var data = fs.readFileSync(path.join(__dirname, 'sample.csv'), { encoding : 'utf8'});

/*
{
    delimiter : <String> optional default is ","
    quote     : <String|Boolean> default is null
}
*/
var options = {
  delimiter : ',', // optional
  quote     : '"' // optional
};

// for multiple delimiter you can use regex pattern like this /[,|;]+/

/* 
  for importing headers from different source you can use headers property in options 
  var options = {
    headers : "sr,name,age,gender"
  };
*/

csvjson.toColumnArray(data, options);

/*
    returns

    {
        sr: [ '1', '2', '3' ],
        name: [ 'rocky', 'jacky', 'suzy' ],
        age: [ '33', '22', '21' ],
        gender: [ 'male', 'male', 'female' ]
    }

*/

convert json object to csv data


var data = fs.readFileSync(path.join(__dirname, 'jsoncsv.json'), { encoding : 'utf8'});
var options = {
    delimiter   : ",",
    wrap        : false
}

/* supported options

    delimiter = <String> optional default value is ","
    wrap  = <String|Boolean> optional default value is false
    headers = <String> optional supported values are "full", "none", "relative", "key"
    objectDenote = <String> optional default value is "."
    arrayDenote = <String> optional default value is "[]"
*/


csvjson.toCSV(data, options);

/*
returns

book.person[].firstName,book.person[].lastName,book.person[].age,book.person[].address.streetAddress,book.person[].address.city,book.person[].address.state,book.person[].address.postalCode,book.person[].hobbies[]
Jane,Doe,25,21 2nd Street,Las Vegas,NV,10021-3100,gaming;volleyball
Agatha,Doe,25,21 2nd Street,Las Vegas,NV,10021-3100,dancing;politics

*/

convert csv to json using stream


var read = fs.createReadStream(path.join(__dirname, 'sample.csv'));
var write = fs.createWriteStream(path.join(__dirname, 'sample.json'));
var toObject = csvjson.stream.toObject();
var stringify = csvjson.stream.stringify();
read.pipe(toObject).pipe(stringify).pipe(write);

/*
following functions available for stream transformation
csvjson.stream.toObject()
csvjson.stream.toArray()
csvjson.stream.toColumnArray()
csvjson.stream.toSchemaObject()
*/

/*
csvjson.stream.stringify([space<number>])
stringify function accepts optional space parameter to format output
*/
npm install csvjson --save