docs.sheetjs.com/12-react.md at aa252651d59b6f324bb5c8d68f28c7f5573245a5

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title
ReactJS

ReactJS is a JS library for building user interfaces.

This demo tries to cover common React data flow ideas and strategies. React familiarity is assumed.

Other demos cover general React deployments, including:

Installation

The "Frameworks" section covers installation with Yarn and other package managers.

The library can be imported directly from JS or JSX code with:

import { read, utils, writeFile } from 'xlsx';

Internal State

The various SheetJS APIs work with various data shapes. The preferred state depends on the application.

Array of Objects

Typically, some users will create a spreadsheet with source data that should be loaded into the site. This sheet will have known columns. For example, our presidents sheet has "Name" / "Index" columns:

This naturally maps to an array of typed objects, as in the TS example below:

import { read, utils } from 'xlsx';

interface President {
  Name: string;
  Index: number;
}

const f = await (await fetch("https://sheetjs.com/pres.xlsx")).arrayBuffer();
const wb = read(f);
const data = utils.sheet_to_json<President>(wb.Sheets[wb.SheetNames[0]]);
console.log(data);

data will be an array of objects:

[
  { Name: "Bill Clinton", Index: 42 },
  { Name: "GeorgeW Bush", Index: 43 },
  { Name: "Barack Obama", Index: 44 },
  { Name: "Donald Trump", Index: 45 },
  { Name: "Joseph Biden", Index: 46 }
]

A component will typically map over the data. The following example generates a TABLE with a row for each President:

import React, { useCallback, useEffect, useState } from "react";
import { read, utils, writeFileXLSX } from 'xlsx';

export default function SheetJSReactAoO() {
  /* the component state is an array of presidents */
  const [pres, setPres] = useState([]);

  /* Fetch and update the state once */
  useEffect(() => { (async() => {
    const f = await (await fetch("https://sheetjs.com/pres.xlsx")).arrayBuffer();
    // highlight-start
    const wb = read(f); // parse the array buffer
    const ws = wb.Sheets[wb.SheetNames[0]]; // get the first worksheet
    const data = utils.sheet_to_json(ws); // generate objects
    setPres(data); // update state
    // highlight-end
  })(); }, []);

  /* get state data and export to XLSX */
  const exportFile = useCallback(() => {
    // highlight-next-line
    const ws = utils.json_to_sheet(pres);
    const wb = utils.book_new();
    utils.book_append_sheet(wb, ws, "Data");
    writeFileXLSX(wb, "SheetJSReactAoO.xlsx");
  }, [pres]);

  return (<table><thead><th>Name</th><th>Index</th></thead><tbody>
    { /* generate row for each president */
// highlight-start
      pres.map(pres => (<tr>
        <td>{pres.Name}</td>
        <td>{pres.Index}</td>
      </tr>))
// highlight-end
    }
  </tbody><tfoot><td colSpan={2}>
    <button onClick={exportFile}>Export XLSX</button>
  </td></tfoot></table>);
}

HTML

The main disadvantage of the Array of Objects approach is the specific nature of the columns. For more general use, passing around an Array of Arrays works. However, this does not handle merge cells well!

The sheet_to_html function generates HTML that is aware of merges and other worksheet features. React dangerouslySetInnerHTML attribute allows code to set the innerHTML attribute, effectively inserting the code into the page:

import React, { useCallback, useEffect, useRef, useState } from "react";
import { read, utils, writeFileXLSX } from 'xlsx';

export default function SheetJSReactHTML() {
  /* the component state is an HTML string */
  const [__html, setHtml] = useState("");
  /* the ref is used in export */
  const tbl = useRef(null);

  /* Fetch and update the state once */
  useEffect(() => { (async() => {
    const f = await (await fetch("https://sheetjs.com/pres.xlsx")).arrayBuffer();
    const wb = read(f); // parse the array buffer
    const ws = wb.Sheets[wb.SheetNames[0]]; // get the first worksheet
    // highlight-start
    const data = utils.sheet_to_html(ws); // generate HTML
    setHtml(data); // update state
    // highlight-end
  })(); }, []);

  /* get live table and export to XLSX */
  const exportFile = useCallback(() => {
    // highlight-start
    const elt = tbl.current.getElementsByTagName("TABLE")[0];
    const wb = utils.table_to_book(elt);
    // highlight-end
    writeFileXLSX(wb, "SheetJSReactHTML.xlsx");
  }, [tbl]);

  return ( <>
    <button onClick={exportFile}>Export XLSX</button>
  // highlight-next-line
    <div ref={tbl} dangerouslySetInnerHTML={{ __html }} />
  </>);
}

Rows and Columns

Some data grids and UI components split worksheet state in two parts: an array of column attribute objects and an array of row objects. The former is used to generate column headings and for indexing into the row objects.

The safest approach is to use an array of arrays for state and to generate column objects that map to A1-Style column headers.

The React Data Grid demo uses this approach with the following column and row structure:

/* rows are generated with a simple array of arrays */
const rows = utils.sheet_to_json(worksheet, { header: 1 });

/* column objects are generated based on the worksheet range */
const range = utils.decode_range(ws["!ref"]||"A1");
const columns = Array.from({ length: range.e.c + 1 }, (_, i) => ({
  /* for an array of arrays, the keys are "0", "1", "2", ... */
  key: String(i),
  /* column labels: encode_col translates 0 -> "A", 1 -> "B", 2 -> "C", ... */
  name: XLSX.utils.encode_col(i)
}));

Legacy Deployments

The Standalone Scripts play nice with legacy deployments that do not use a bundler.

The legacy demo shows a simple React component transpiled in the browser using Babel standalone library.

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