csv-parser 1.7.0

The "csv-parser" npm package is a convenient and ultra-fast library for parsing CSV files. It converts CSV into JSON at a rate of roughly 90,000 rows per second. CSV-parser is not only prized for its speed but also for its compatibility with the csv-spectrum CSV acid test suite. Whether you're operating in a Node environment or using it in the browser with browserify, this module has you covered.

Using the csv-parser is quite straightforward. Start by installing the package with npm or yarn.

$ npm install csv-parser

or

$ yarn add csv-parser

Once the csv-parser module is installed, you can proceed with implementing it in your JavaScript code as shown below:

// Import the necessary modules
const csv = require('csv-parser')
const fs = require('fs')

// Declare an array to store the parsed data
const results = [];

fs.createReadStream('data.csv') // Create a readable stream to a CSV file
  .pipe(csv())              // Pipe the stream to csv-parser
  .on('data', (data) => results.push(data)) // On 'data', push the data into the results array
  .on('end', () => {         // On 'end', log the results
    console.log(results);  
  });

The csv-parser function accepts an object argument which allows you to specify options. For example:

csv({ separator: '\t' });  // to specify a tab character as the separator

For detailed information and advanced usage, you can access the csv-parser documentation on its GitHub repository at https://github.com/mafintosh/csv-parser. The documentation provides a comprehensive overview of the API, including various options you can set and events you can listen to when using csv-parser. Also, you will find useful information on how to use the CLI provided by the module and how to deal with encoding issues and Byte Order Marks.