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	| title | sidebar_label | pagination_prev | pagination_next | sidebar_position | 
|---|---|---|---|---|
| Bundling Sheets with Browserify | Browserify | demos/index | demos/grid/index | 9 | 
import current from '/version.js'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import CodeBlock from '@theme/CodeBlock';
Browserify is a module bundler.
SheetJS is a JavaScript library for reading and writing data from spreadsheets.
This demo uses Browserify and SheetJS to export data. We'll explore how to add SheetJS to a site using Browserify and how to export data to spreadsheets.
:::note pass
This demo focuses on integration details with the Browserify bundler.
The demos follow the "Export Tutorial", which covers SheetJS library usage in more detail.
:::
:::note Tested Deployments
This demo was tested in the following environments:
| Browserify | Date | 
|---|---|
| 17.0.0 | 2023-12-04 | 
| 3.46.1 | 2023-12-04 | 
:::
Integration Details
The "Frameworks" section covers installation with Yarn and other package managers.
After installing the SheetJS module in a Browserify project, require
expressions can load relevant parts of the library.
var XLSX = require("xlsx");
// ... use XLSX ...
Browserify can also process require expressions in Web Worker scripts.
Complete Example
- Initialize a new project:
mkdir sheetjs-browserify
cd sheetjs-browserify
npm init -y
- Install the tarball using a package manager:
- Save the following to index.js:
// highlight-next-line
const { utils, version, writeFileXLSX } = require('xlsx');
document.getElementById("xport").addEventListener("click", function() {
  /* fetch JSON data and parse */
  var url = "https://sheetjs.com/data/executive.json";
  fetch(url).then(function(res) { return res.json(); }).then(function(raw_data) {
    /* filter for the Presidents */
    var prez = raw_data.filter(function(row) { return row.terms.some(function(term) { return term.type === "prez"; }); });
    /* sort by first presidential term */
    prez.forEach(function(row) {
      row.start = row.terms.find(function(term) {
        return term.type === "prez";
      }).start
    });
    prez.sort(function(l,r) { return l.start.localeCompare(r.start); });
    /* flatten objects */
    var rows = prez.map(function(row) { return {
      name: row.name.first + " " + row.name.last,
      birthday: row.bio.birthday
    }; });
    /* generate worksheet and workbook */
    var worksheet = utils.json_to_sheet(rows);
    var workbook = utils.book_new();
    utils.book_append_sheet(workbook, worksheet, "Dates");
    /* fix headers */
    utils.sheet_add_aoa(worksheet, [["Name", "Birthday"]], { origin: "A1" });
    /* calculate column width */
    var max_width = rows.reduce(function(w, r) { return Math.max(w, r.name.length); }, 10);
    worksheet["!cols"] = [ { wch: max_width } ];
    /* create an XLSX file and try to save to Presidents.xlsx */
    writeFileXLSX(workbook, "Presidents.xlsx");
  });
});
- Bundle the scripts:
npx browserify index.js > index.min.js
:::caution pass
Legacy browserify versions must use a local version. For version 3.46.1:
npm install --save browserify@3.46.1
./node_modules/.bin/browserify index.js > index.min.js
:::
- Create a small HTML page that loads the script.  Save to index.html:
<!DOCTYPE html>
<html lang="en">
  <head></head>
  <body>
    <h1>SheetJS Presidents Demo</h1>
    <button id="xport">Click here to export</button>
    <script src="./index.min.js"></script>
  </body>
</html>
- Start a local HTTP server:
npx http-server .
- Load the displayed URL (typically http://localhost:8080/) in a web browser.
Click on "Click here to export" to generate a file.