Giter Club home page Giter Club logo

csv-writer's Introduction

Build Status Coverage Status Code Climate

CSV Writer

Convert objects/arrays into a CSV string or write them into a file. It respects RFC 4180 for the output CSV format.

Prerequisite

  • Node version 4 or above

Usage

The example below shows how you can write records defined as the array of objects into a file.

const createCsvWriter = require('csv-writer').createObjectCsvWriter;
const csvWriter = createCsvWriter({
    path: 'path/to/file.csv',
    header: [
        {id: 'name', title: 'NAME'},
        {id: 'lang', title: 'LANGUAGE'}
    ]
});

const records = [
    {name: 'Bob',  lang: 'French, English'},
    {name: 'Mary', lang: 'English'}
];

csvWriter.writeRecords(records)       // returns a promise
    .then(() => {
        console.log('...Done');
    });

// This will produce a file path/to/file.csv with following contents:
//
//   NAME,LANGUAGE
//   Bob,"French, English"
//   Mary,English

You can keep writing records into the same file by calling writeRecords multiple times (but need to wait for the fulfillment of the promise of the previous writeRecords call).

// In an `async` function
await csvWriter.writeRecords(records1)
await csvWriter.writeRecords(records2)
...

However, if you need to keep writing large data to a certain file, you would want to create node's transform stream and use CsvStringifier, which is explained later, inside it , and pipe the stream into a file write stream.

If you don't want to write a header line, don't give title to header elements and just give field IDs as a string.

const createCsvWriter = require('csv-writer').createObjectCsvWriter;
const csvWriter = createCsvWriter({
    path: 'path/to/file.csv',
    header: ['name', 'lang']
});

If each record is defined as an array, use createArrayCsvWriter to get an csvWriter.

const createCsvWriter = require('csv-writer').createArrayCsvWriter;
const csvWriter = createCsvWriter({
    header: ['NAME', 'LANGUAGE'],
    path: 'path/to/file.csv'
});

const records = [
    ['Bob',  'French, English'],
    ['Mary', 'English']
];

csvWriter.writeRecords(records)       // returns a promise
    .then(() => {
        console.log('...Done');
    });

// This will produce a file path/to/file.csv with following contents:
//
//   NAME,LANGUAGE
//   Bob,"French, English"
//   Mary,English

If you just want to get a CSV string but don't want to write into a file, you can use createObjectCsvStringifier (or createArrayCsvStringifier) to get an csvStringifier.

const createCsvStringifier = require('csv-writer').createObjectCsvStringifier;
const csvStringifier = createCsvStringifier({
    header: [
        {id: 'name', title: 'NAME'},
        {id: 'lang', title: 'LANGUAGE'}
    ]
});

const records = [
    {name: 'Bob',  lang: 'French, English'},
    {name: 'Mary', lang: 'English'}
];

console.log(csvStringifier.getHeaderString());
// => 'NAME,LANGUAGE\n'

console.log(csvStringifier.stringifyRecords(records));
// => 'Bob,"French, English"\nMary,English\n'

API

createObjectCsvWriter(params)

Parameters:
  • params <Object>
    • path <string>

      Path to a write file

    • header <Array<{id, title}|string>>

      Array of objects (id and title properties) or strings (field IDs). A header line will be written to the file only if given as an array of objects.

    • fieldDelimiter <string> (optional)

      Default: ,. Only either comma , or semicolon ; is allowed.

    • recordDelimiter <string> (optional)

      Default: \n. Only either LF (\n) or CRLF (\r\n) is allowed.

    • headerIdDelimiter <string> (optional)

      Default: undefined. Give this value to specify a path to a value in a nested object.

    • alwaysQuote <boolean> (optional)

      Default: false. Set it to true to double-quote all fields regardless of their values.

    • encoding <string> (optional)

      Default: utf8.

    • append <boolean> (optional)

      Default: false. When true, it will append CSV records to the specified file. If the file doesn't exist, it will create one.

      NOTE: A header line will not be written to the file if true is given.

Returns:
  • <CsvWriter>

createArrayCsvWriter(params)

Parameters:
  • params <Object>
    • path <string>

      Path to a write file

    • header <Array<string>> (optional)

      Array of field titles

    • fieldDelimiter <string> (optional)

      Default: ,. Only either comma , or semicolon ; is allowed.

    • recordDelimiter <string> (optional)

      Default: \n. Only either LF (\n) or CRLF (\r\n) is allowed.

    • alwaysQuote <boolean> (optional)

      Default: false. Set it to true to double-quote all fields regardless of their values.

    • encoding <string> (optional)

      Default: utf8.

    • append <boolean> (optional)

      Default: false. When true, it will append CSV records to the specified file. If the file doesn't exist, it will create one.

      NOTE: A header line will not be written to the file if true is given.

Returns:
  • <CsvWriter>

CsvWriter#writeRecords(records)

Parameters:
  • records <Iterator<Object|Array>>

    Depending on which function was used to create a csvWriter (i.e. createObjectCsvWriter or createArrayCsvWriter), records will be either a collection of objects or arrays. As long as the collection is iterable, it doesn't need to be an array.

Returns:
  • <Promise>

createObjectCsvStringifier(params)

Parameters:
  • params <Object>
    • header <Array<{id, title}|string>>

      Array of objects (id and title properties) or strings (field IDs)

    • fieldDelimiter <string> (optional)

      Default: ,. Only either comma , or semicolon ; is allowed.

    • recordDelimiter <string> (optional)

      Default: \n. Only either LF (\n) or CRLF (\r\n) is allowed.

    • headerIdDelimiter <string> (optional)

      Default: undefined. Give this value to specify a path to a value in a nested object.

    • alwaysQuote <boolean> (optional)

      Default: false. Set it to true to double-quote all fields regardless of their values.

Returns:
  • <ObjectCsvStringifier>

ObjectCsvStringifier#getHeaderString()

Returns:
  • <string>

ObjectCsvStringifier#stringifyRecords(records)

Parameters:
  • records <Array<Object>>
Returns:
  • <string>

createArrayCsvStringifier(params)

Parameters:
  • params <Object>
    • header <Array<string>> (optional)

      Array of field titles

    • fieldDelimiter <string> (optional)

      Default: ,. Only either comma , or semicolon ; is allowed.

    • recordDelimiter <string> (optional)

      Default: \n. Only either LF (\n) or CRLF (\r\n) is allowed.

    • alwaysQuote <boolean> (optional)

      Default: false. Set it to true to double-quote all fields regardless of their values.

Returns:
  • <ArrayCsvStringifier>

ArrayCsvStringifier#getHeaderString()

Returns:
  • <string>

ArrayCsvStringifier#stringifyRecords(records)

Parameters:
  • records <Array<Array<string>>>
Returns:
  • <string>

Request Features or Report Bugs

Feature requests and bug reports are very welcome: https://github.com/ryu1kn/csv-writer/issues

A couple of requests from me when you raise an issue on GitHub.

  • Requesting a feature: Please try to provide the context of why you want the feature. Such as, in what situation the feature could help you and how, or how the lack of the feature is causing an inconvenience to you. I can't start thinking of introducing it until I understand how it helps you ๐Ÿ™‚
  • Reporting a bug: If you could provide a runnable code snippet that reproduces the bug, it would be very helpful!

Development

Prerequisite

  • Node version 8 or above
  • Docker

csv-writer's People

Contributors

coyotte508 avatar dependabot[bot] avatar mvaneerde avatar pineapplemachine avatar ryu1kn avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.