How to read a CSV file in JavaScript

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November 8, 2023

You can read a CSV file in JavaScript with the FileReader API for client-side operations or Node.js modules like fs for server-side processing. This guide walks you through the implementation details for both environments.

Understanding the FileReader API

The FileReader API is designed for reading file contents from the user's computer. It is asynchronous and works with callback functions to handle the file data once it is read.

Reading a CSV file on the client-side

document.getElementById('input-file').addEventListener('change', event => { const file = event.target.files[0]; const reader = new FileReader(); reader.onload = function(e) { const text = e.target.result; processCSV(text); }; reader.readAsText(file); }); function processCSV(text) { // Split the text into an array of lines const lines = text.split('\\n'); lines.forEach(line => { const columns = line.split(','); // Handle the columns array }); }

Node.js 'fs' and 'readline' modules

For server-side operations, Node.js provides the fs module to read files and the readline module to handle them line by line.

Reading a CSV file on the server-side

const fs = require('fs'); const readline = require('readline'); const stream = fs.createReadStream('path/to/your/file.csv'); const reader = readline.createInterface({ input: stream, crlfDelay: Infinity }); reader.on('line', (line) => { const columns = line.split(','); // Handle the columns array }); reader.on('close', () => { // Handle the end of the file });

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Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

Parsing CSV with a library

Although JavaScript does not have a built-in CSV parser, you can use libraries like PapaParse for more advanced features like auto-detection of delimiters.

Using PapaParse to read a CSV file

Papa.parse(file, { complete: function(results) { console.log('Parsed rows:', results.data); } });

Remember to include the PapaParse library in your HTML or install it via npm for Node.js environments.

Handling CSV with headers

If your CSV has headers, you'll want to map those headers to the values in each row.

Mapping headers to values

function csvToArray(str, delimiter = ",") { const headers = str.slice(0, str.indexOf("\\n")).split(delimiter); const rows = str.slice(str.indexOf("\\n") + 1).split("\\n"); const arr = rows.map(function(row) { const values = row.split(delimiter); const el = headers.reduce(function(object, header, index) { object[header] = values[index]; return object; }, {}); return el; }); return arr; }

This function converts a CSV string into an array of objects, with each object representing a row and the headers as keys.

TOC

Understanding the FileReader API
Node.js 'fs' and 'readline' modules
Parsing CSV with a library
Handling CSV with headers

November 8, 2023

You can read a CSV file in JavaScript with the FileReader API for client-side operations or Node.js modules like fs for server-side processing. This guide walks you through the implementation details for both environments.

Understanding the FileReader API

The FileReader API is designed for reading file contents from the user's computer. It is asynchronous and works with callback functions to handle the file data once it is read.

Reading a CSV file on the client-side

document.getElementById('input-file').addEventListener('change', event => { const file = event.target.files[0]; const reader = new FileReader(); reader.onload = function(e) { const text = e.target.result; processCSV(text); }; reader.readAsText(file); }); function processCSV(text) { // Split the text into an array of lines const lines = text.split('\\n'); lines.forEach(line => { const columns = line.split(','); // Handle the columns array }); }

Node.js 'fs' and 'readline' modules

For server-side operations, Node.js provides the fs module to read files and the readline module to handle them line by line.

Reading a CSV file on the server-side

const fs = require('fs'); const readline = require('readline'); const stream = fs.createReadStream('path/to/your/file.csv'); const reader = readline.createInterface({ input: stream, crlfDelay: Infinity }); reader.on('line', (line) => { const columns = line.split(','); // Handle the columns array }); reader.on('close', () => { // Handle the end of the file });

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

Parsing CSV with a library

Although JavaScript does not have a built-in CSV parser, you can use libraries like PapaParse for more advanced features like auto-detection of delimiters.

Using PapaParse to read a CSV file

Papa.parse(file, { complete: function(results) { console.log('Parsed rows:', results.data); } });

Remember to include the PapaParse library in your HTML or install it via npm for Node.js environments.

Handling CSV with headers

If your CSV has headers, you'll want to map those headers to the values in each row.

Mapping headers to values

function csvToArray(str, delimiter = ",") { const headers = str.slice(0, str.indexOf("\\n")).split(delimiter); const rows = str.slice(str.indexOf("\\n") + 1).split("\\n"); const arr = rows.map(function(row) { const values = row.split(delimiter); const el = headers.reduce(function(object, header, index) { object[header] = values[index]; return object; }, {}); return el; }); return arr; }

This function converts a CSV string into an array of objects, with each object representing a row and the headers as keys.

November 8, 2023

You can read a CSV file in JavaScript with the FileReader API for client-side operations or Node.js modules like fs for server-side processing. This guide walks you through the implementation details for both environments.

Understanding the FileReader API

The FileReader API is designed for reading file contents from the user's computer. It is asynchronous and works with callback functions to handle the file data once it is read.

Reading a CSV file on the client-side

document.getElementById('input-file').addEventListener('change', event => { const file = event.target.files[0]; const reader = new FileReader(); reader.onload = function(e) { const text = e.target.result; processCSV(text); }; reader.readAsText(file); }); function processCSV(text) { // Split the text into an array of lines const lines = text.split('\\n'); lines.forEach(line => { const columns = line.split(','); // Handle the columns array }); }

Node.js 'fs' and 'readline' modules

For server-side operations, Node.js provides the fs module to read files and the readline module to handle them line by line.

Reading a CSV file on the server-side

const fs = require('fs'); const readline = require('readline'); const stream = fs.createReadStream('path/to/your/file.csv'); const reader = readline.createInterface({ input: stream, crlfDelay: Infinity }); reader.on('line', (line) => { const columns = line.split(','); // Handle the columns array }); reader.on('close', () => { // Handle the end of the file });

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

Parsing CSV with a library

Although JavaScript does not have a built-in CSV parser, you can use libraries like PapaParse for more advanced features like auto-detection of delimiters.

Using PapaParse to read a CSV file

Papa.parse(file, { complete: function(results) { console.log('Parsed rows:', results.data); } });

Remember to include the PapaParse library in your HTML or install it via npm for Node.js environments.

Handling CSV with headers

If your CSV has headers, you'll want to map those headers to the values in each row.

Mapping headers to values

function csvToArray(str, delimiter = ",") { const headers = str.slice(0, str.indexOf("\\n")).split(delimiter); const rows = str.slice(str.indexOf("\\n") + 1).split("\\n"); const arr = rows.map(function(row) { const values = row.split(delimiter); const el = headers.reduce(function(object, header, index) { object[header] = values[index]; return object; }, {}); return el; }); return arr; }

This function converts a CSV string into an array of objects, with each object representing a row and the headers as keys.

What is Basedash?

What is Basedash?

What is Basedash?

Ship faster, worry less with Basedash

Ship faster, worry less with Basedash

Ship faster, worry less with Basedash

You're busy enough with product work to be weighed down building, maintaining, scoping and developing internal apps and admin panels. Forget all of that, and give your team the admin panel that you don't have to build. Launch in less time than it takes to run a standup.

You're busy enough with product work to be weighed down building, maintaining, scoping and developing internal apps and admin panels. Forget all of that, and give your team the admin panel that you don't have to build. Launch in less time than it takes to run a standup.

You're busy enough with product work to be weighed down building, maintaining, scoping and developing internal apps and admin panels. Forget all of that, and give your team the admin panel that you don't have to build. Launch in less time than it takes to run a standup.

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