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    csv

CSV parser with simple api, full of options and tested against large datasets.


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Package description

What is csv?

The csv npm package is a comprehensive library for parsing and handling CSV data in Node.js. It provides a range of tools for reading, writing, transforming, and streaming CSV data, making it a versatile choice for developers working with CSV files in JavaScript.

What are csv's main functionalities?

Parsing CSV

This feature allows you to parse CSV data into arrays or objects. The code sample demonstrates how to parse a simple CSV string.

"use strict";
const parse = require('csv-parse');
const assert = require('assert');

const input = 'a,b,c\nd,e,f';
parse(input, function(err, output){
  assert.deepEqual(
    output,
    [['a', 'b', 'c'], ['d', 'e', 'f']]
  );
});

Stringifying CSV

This feature allows you to convert arrays or objects into CSV strings. The code sample shows how to stringify an array of arrays into a CSV string.

"use strict";
const stringify = require('csv-stringify');
const assert = require('assert');

const input = [['a', 'b', 'c'], ['d', 'e', 'f']];
stringify(input, function(err, output){
  assert.equal(
    output,
    'a,b,c\nd,e,f\n'
  );
});

Transforming Data

This feature allows you to apply a transformation to the CSV data. The code sample demonstrates how to convert all the values in the CSV to uppercase.

"use strict";
const transform = require('stream-transform');
const assert = require('assert');

const input = [['a', 'b', 'c'], ['d', 'e', 'f']];
const transformer = transform(function(record, callback){
  callback(null, record.map(value => value.toUpperCase()));
});

transformer.write(input[0]);
transformer.write(input[1]);
transformer.end();

const output = [];
transformer.on('readable', function(){
  let row;
  while ((row = transformer.read()) !== null) {
    output.push(row);
  }
});

transformer.on('end', function(){
  assert.deepEqual(
    output,
    [['A', 'B', 'C'], ['D', 'E', 'F']]
  );
});

Streaming API

This feature provides a streaming API for working with large CSV files without loading the entire file into memory. The code sample demonstrates how to read a CSV file as a stream and parse it.

"use strict";
const fs = require('fs');
const parse = require('csv-parse');

const parser = parse({columns: true});
const input = fs.createReadStream('/path/to/input.csv');

input.pipe(parser);

parser.on('readable', function(){
  let record;
  while ((record = parser.read()) !== null) {
    // Work with each record
  }
});

parser.on('end', function(){
  // Handle end of parsing
});

Other packages similar to csv

Readme

Source

Build Status

     _   _           _        _____  _______      __
    | \ | |         | |      / ____|/ ____\ \    / /
    |  \| | ___   __| | ___ | |    | (___  \ \  / / 
    | . ` |/ _ \ / _` |/ _ \| |     \___ \  \ \/ /  
    | |\  | (_) | (_| |  __/| |____ ____) |  \  /   
    |_| \_|\___/ \__,_|\___| \_____|_____/    \/     New BSD License

Documentation is for the parser is available here.

Important

This readme cover the current version 0.2.x of the node csv parser.

The documentation for the current version 0.1.0 is available here.

Quick example

// node samples/string.js
var csv = require('csv');
csv()
.from( '"1","2","3","4"\n"a","b","c","d"' )
.to( console.log )
// Output:
// 1,2,3,4
// a,b,c,d

Advanced example

// node samples/sample.js
var csv = require('csv');
csv()
.from.stream(fs.createReadStream(__dirname+'/sample.in'))
.to.path(__dirname+'/sample.out')
.transform( function(data){
  data.unshift(data.pop());
  return data;
})
.on('record', function(data,index){
  console.log('#'+index+' '+JSON.stringify(data));
})
.on('end', function(count){
  console.log('Number of lines: '+count);
})
.on('error', function(error){
  console.log(error.message);
});
// Output:
// #0 ["2000-01-01","20322051544","1979.0","8.8017226E7","ABC","45"]
// #1 ["2050-11-27","28392898392","1974.0","8.8392926E7","DEF","23"]
// Number of lines: 2

Migration

The functions 'from*' and 'to*' are now rewritten as 'from.' and 'to.'. The 'data' event is now the 'record' event. The 'data' now recieved a stringified version of the 'record' event.

Development

Tests are executed with mocha. To install it, simple run npm install, it will install mocha and its dependencies in your project "node_modules" directory.

To run the tests:

npm test

The tests run against the CoffeeScript source files.

To generate the JavaScript files:

make build

The test suite is run online with Travis against Node.js version 0.6, 0.7, 0.8 and 0.9.

Contributors

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Last updated on 24 Oct 2012

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