docs.sheetjs.com/05-grid.md at dbe0554b9be1bcb4c348bc03876516f75f5fcc34

LankyMoose/docs.sheetjs.com

2023-02-24 02:55:41 -05:00

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Various JavaScript UI components provide a more interactive editing experience. Most are able to interchange with arrays of arrays or arrays of data objects. This demo focuses on a few open source data grids.

:::note

SheetJS Pro offers additional features like styling and images. The UI tools typically support many of these advanced features.

To eliminate any confusion, the live examples linked from this page demonstrate SheetJS Community Edition data interchange.

:::

Managed Lifecycle

Many UI components tend to manage the entire lifecycle, providing methods to import and export data.

The sheet_to_json utility function generates arrays of objects, which is suitable for a number of libraries. When more advanced shapes are needed, it is easier to process an array of arrays.

x-spreadsheet

With a familiar UI, x-spreadsheet is an excellent choice for developers looking for a modern editor.

Click here for a live integration demo.

Full Exposition (click to show)

Obtaining the Library

The x-data-spreadsheet NodeJS packages include a minified script that can be directly inserted as a script tag. The unpkg CDN also serves this script:

<!-- x-spreadsheet stylesheet -->
<link rel="stylesheet" href="https://unpkg.com/x-data-spreadsheet/dist/xspreadsheet.css"/>
<!-- x-spreadsheet library -->
<script src="https://unpkg.com/x-data-spreadsheet/dist/xspreadsheet.js"></script>

Previewing and Editing Data

The HTML document needs a container element:

<div id="gridctr"></div>

Grid initialization is a one-liner:

var grid = x_spreadsheet(document.getElementById("gridctr"));

x-spreadsheet handles the entire edit cycle. No intervention is necessary.

SheetJS and x-spreadsheet

The integration library can be downloaded from the SheetJS CDN:

Development Use

Production Use

When used in a browser tag, it exposes two functions: xtos and stox.

stox(worksheet) returns a data structure suitable for grid.loadData
xtos(data) accepts the result of grid.getData and generates a workbook

Reading Data

The following snippet fetches a spreadsheet and loads the grid:

(async() => {
  const ab = await (await fetch("https://sheetjs.com/pres.numbers")).arrayBuffer();
  grid.loadData(stox(XLSX.read(ab)));
})();

The same pattern can be used in file input elements and other data sources.

Writing Data

The following snippet exports the grid data to a file:

/* build workbook from the grid data */
XLSX.writeFile(xtos(grid.getData()), "SheetJS.xlsx");

Additional Features

This demo barely scratches the surface. The underlying grid component includes many additional features that work with SheetJS Pro.

Canvas DataGrid

After extensive testing, canvas-datagrid stood out as a very high-performance grid with an incredibly simple API.

Click here for a live integration demo.

Full Exposition (click to show)

Obtaining the Library

The canvas-datagrid NodeJS packages include a minified script that can be directly inserted as a script tag. The unpkg CDN also serves this script:

<script src="https://unpkg.com/canvas-datagrid/dist/canvas-datagrid.js"></script>

Previewing Data

The HTML document needs a container element:

<div id="gridctr"></div>

Grid initialization is a one-liner:

var grid = canvasDatagrid({
  parentNode: document.getElementById('gridctr'),
  data: []
});

For large data sets, it's necessary to constrain the size of the grid.

grid.style.height = '100%';
grid.style.width = '100%';

Once the workbook is read and the worksheet is selected, assigning the data variable automatically updates the view:

grid.data = XLSX.utils.sheet_to_json(ws, {header:1});

This demo previews the first worksheet.

Editing

canvas-datagrid handles the entire edit cycle. No intervention is necessary.

Saving Data

grid.data is immediately readable and can be converted back to a worksheet. Some versions return an array-like object without the length, so a little bit of preparation may be needed:

/* converts an array of array-like objects into an array of arrays */
function prep(arr) {
  var out = [];
  for(var i = 0; i < arr.length; ++i) {
    if(!arr[i]) continue;
    if(Array.isArray(arr[i])) { out[i] = arr[i]; continue };
    var o = new Array();
    Object.keys(arr[i]).forEach(function(k) { o[+k] = arr[i][k] });
    out[i] = o;
  }
  return out;
}

/* build worksheet from the grid data */
var ws = XLSX.utils.aoa_to_sheet(prep(grid.data));

/* build up workbook */
var wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, 'SheetJS');

/* generate download */
XLSX.writeFile(wb, "SheetJS.xlsx");

Additional Features

This demo barely scratches the surface. The underlying grid component includes many additional features including massive data streaming, sorting and styling.

Tabulator

Tabulator includes deep support through a special Export button. It handles the SheetJS operations internally.

Angular UI Grid

:::warning

This UI Grid is for AngularJS, not the modern Angular. New projects should not use AngularJS. This demo is included for legacy applications.

The AngularJS demo covers more general strategies.

:::

Click here for a live integration demo.

Notes (click to show)

The library does not provide any way to modify the import button, so the demo includes a simple directive for a File Input HTML element. It also includes a sample service for export which adds an item to the export menu.

The demo SheetJSImportDirective follows the prescription from the README for File input controls using readAsArrayBuffer, converting to a suitable representation and updating the scope.

SheetJSExportService exposes export functions for XLSB and XLSX. Other file formats can be exported by changing the bookType variable. It grabs values from the grid, builds an array of arrays, generates a workbook and forces a download. By setting the filename and sheetname options in the ui-grid options, the output can be controlled.

Framework Lifecycle

For modern frameworks like React, data grids tend to follow the framework state and idioms. The same sheet_to_json and json_to_sheet / aoa_to_sheet methods are used, but they pull from a shared state object that can be mutated with other buttons and components on the page.

React Data Grid

:::note

This demo was tested against react-data-grid 7.0.0-beta.15, React 18.2.0, and create-react-app 5.0.1 on 2022 August 16.

:::

RDG Demo

Complete Example (click to show)

Create a new TypeScript create-react-app app:

npx create-react-app sheetjs-cra --template typescript
cd sheetjs-cra

Install dependencies:

npm i -S https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz react-data-grid

Download App.tsx and replace src/App.tsx.
run npm start. When you load the page in the browser, it will attempt to fetch https://sheetjs.com/pres.numbers and load the data.

The following screenshot was taken from the demo:

Rows and Columns state

react-data-grid state consists of an Array of column metadata and an Array of row objects. Typically both are defined in state:

import DataGrid, { Column } from "react-data-grid";

export default function App() {
  const [rows, setRows] = useState([]);
  const [columns, setColumns] = useState([]);

  return ( <DataGrid columns={columns} rows={rows} onRowsChange={setRows} /> );
}

The most generic data representation is an array of arrays. To sate the grid, columns must be objects whose key property is the index converted to string:

import { WorkSheet, utils } from 'xlsx';
import { textEditor, Column } from "react-data-grid";

type Row = any[];
type AOAColumn = Column<Row>;
type RowCol = { rows: Row[]; columns: AOAColumn[]; };

function ws_to_rdg(ws: WorkSheet): RowCol {
  /* create an array of arrays */
  const rows = utils.sheet_to_json(ws, { header: 1 });

  /* create column array */
  const range = utils.decode_range(ws["!ref"]||"A1");
  const columns = Array.from({ length: range.e.c + 1 }, (_, i) => ({
    key: String(i), // RDG will access row["0"], row["1"], etc
    name: utils.encode_col(i), // the column labels will be A, B, etc
    editor: textEditor // enable cell editing
  }));

  return { rows, columns }; // these can be fed to setRows / setColumns
}

In the other direction, a worksheet can be generated with aoa_to_sheet:

import { WorkSheet, utils } from 'xlsx';

type Row = any[];

function rdg_to_ws(rows: Row[]): WorkSheet {
  return utils.aoa_to_sheet(rows);
}

:::caution

When the demo was last refreshed, row array objects were preserved. This was not the case in a later release. The row arrays must be re-created.

The snippet defines a arrayify function that creates arrays if necessary.

import { WorkSheet, utils } from 'xlsx';

type Row = any[];

// highlight-start
function arrayify(rows: any[]): Row[] {
  return rows.map(row => {
    var length = Object.keys(row).length;
    for(; length > 0; --length) if(row[length-1] != null) break;
    return Array.from({length, ...row});
  });
}
// highlight-end

function rdg_to_ws(rows: Row[]): WorkSheet {
  return utils.aoa_to_sheet(arrayify(rows));
}

:::

Glide Data Grid

:::note

This demo was last tested on 2023 February 07 with the ViteJS+React+TypeScript starter (Vite 4.1.1, React 18.2.0) and @glideapps/glide-data-grid@5.2.1.

:::

GDG Demo

Complete Example (click to show)

Create a new project:

npm create vite@latest -- sheetjs-gdg --template react-ts
cd sheetjs-gdg
npm i

Install SheetJS and Glide Data Grid required dependencies:

npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz
npm i --save @glideapps/glide-data-grid lodash marked

Start dev server:

npm run dev

The terminal window will display a URL (typically http://localhost:5173). Open the URL with a web browser.

Download App.tsx and replace src/App.tsx:

curl -L -o src/App.tsx https://docs.sheetjs.com/gdg/App.tsx

Refresh the browser window and a grid should be displayed:

To test the export functionality, make some changes to the grid data.

Suppose you believe that President Grover Cleveland should be counted once. That would imply President Clinton should be index 41 and the indices of the other presidents should be decremented. By double-clicking on each cell in the Index column, a cell editor should appear. Decrement each index:

Click on the "Export" button to create a file! Open the file and verify.

Backing Store

Under the hood, the DataEditor component is designed to call methods and request data to display in the grid. It is typical to store data outside of component state. A getCellContent callback will pull data from the external backing store, while SheetJS operations will directly act on the store:

// !! THESE OBJECTS ARE DEFINED OUTSIDE OF THE COMPONENT FUNCTION !!

// this will store the raw data objects
let data: any[] = [];
// this will store the header names
let header: string[] = [];

GDG Props

:::note

This is a high-level overview. The official documentation should be consulted.

:::

Columns

DataEditor expects column metadata to be passed through a columns prop. This should be managed in the component state:

import { useState } from 'react';
import { DataEditor, GridColumn } from '@glideapps/glide-data-grid';

function App() {
  // highlight-next-line
  const [cols, setCols] = useState<GridColumn[]>([]); // gdg column objects
  // ...
  return ( <>
    // ...
    <DataEditor
      // ... props
      // highlight-next-line
      columns={cols}
    />
    // ...
  </> );
}
export default App;

Each GridColumn object expects a title representing the display name and an id representing the key to index within the data object.

Data

The DataEditor component expects a getCellContent callback for supplying data. The callback accepts column and row indices. The column index should be used to find the header key:

import { useCallback } from 'react';
import { DataEditor, GridCellKind, GridCell, Item } from '@glideapps/glide-data-grid';

// ...

function App() {
  // ...
  // backing data store -> gdg
  // highlight-start
  const getContent = useCallback((cell: Item): GridCell => {
    const [col, row] = cell;
    return {
      kind: GridCellKind.Text,
      // header[col] is the name of the field
      displayData: String(data[row]?.[header[col]]??""),
      data: data[row]?.[header[col]],
    };
  }, []);
  // highlight-end
  // ...
  return ( <>
    // ...
    <DataEditor
      // ... props
      // highlight-next-line
      getCellContent={getContent}
    />
    // ...
  </> );
}

Row Count

DataEditor also accepts a rows property indicating the number of rows. This is best managed in state:

import { useState } from 'react';
import { DataEditor } from '@glideapps/glide-data-grid';

function App() {
  // highlight-next-line
  const [rows, setRows] = useState<number>(0); // number of rows
  // ...
  return ( <>
    // ...
    <DataEditor
      // ... props
      // highlight-next-line
      rows={rows}
    />
    // ...
  </> );
}
export default App;

Editing Data

The demo uses the onCellEdited callback to write back to the data store.

Parsing Data

SheetJS to Data Store

The raw data objects are readily generated with sheet_to_json. The headers can be pulled by extracting the first row of the worksheet:

import { utils, WorkBook } from 'xlsx';

// ...

const update_backing_store = (wb: WorkBook) => {
  // get first worksheet
  const sheet = wb.Sheets[wb.SheetNames[0]];

  // set data
  // highlight-next-line
  data = utils.sheet_to_json<any>(sheet);

  // create a range consisting of the first row
  const range = utils.decode_range(sheet["!ref"]??"A1"); // original range
  range.e.r = range.s.r; // set ending row to starting row (select first row)

  // pull headers
  // highlight-next-line
  header = utils.sheet_to_json<string[]>(sheet, {header: 1, range})[0];
};

// ...

Data Store to GDG

Scheduling a refresh for the DataEditor involves updating the grid column metadata and row count through the standard state. It also requires a special updateCells call to instruct the grid to mark the cached data as stale:

import { useRef } from 'react'
import { WorkBook } from 'xlsx'
import { DataEditor, GridColumn, Item, DataEditorRef } from '@glideapps/glide-data-grid'

function App() {
  const ref = useRef<DataEditorRef>(null); // gdg ref
  // ...
  const parse_wb = (wb: WorkBook) => {
    update_backing_store(wb);

    // highlight-start
    // update column metadata by pulling from external header keys
    setCols(header.map(h => ({title: h, id: h} as GridColumn)));

    // update number of rows
    setRows(data.length);

    if(data.length > 0) {
      // create an array of the cells that must be updated
      let cells = data.map(
        (_,R) => Array.from({length:header.length}, (_,C) => ({cell: ([C,R] as Item)}))
      ).flat();
      // initiate update using the `ref` attached to the DataEditor
      ref.current?.updateCells(cells)
    }
    // highlight-end
  };
  // ...
  return ( <>
    // ...
    <DataEditor
      // ... props
      // highlight-next-line
      ref={ref}
    />
    // ...
  </> );
}
export default App;

Writing Data

json_to_sheet works directly on the data array:

const ws = utils.json_to_sheet(data); // easy :)

Since the editor can change the header titles, it is strongly recommended to pull column data from the state and rewrite the header row:

import { utils, writeFileXLSX } from 'xlsx';

function App() {
  // ...
  const exportXLSX = useCallback(() => {
    // highlight-start
    // generate worksheet using data with the order specified in the columns array
    const ws = utils.json_to_sheet(data, {header: cols.map(c => c.id ?? c.title)});

    // rewrite header row with titles
    utils.sheet_add_aoa(ws, [cols.map(c => c.title ?? c.id)], {origin: "A1"});
    // highlight-end

    // create workbook
    const wb = utils.book_new();
    utils.book_append_sheet(wb, ws, "Export"); // replace with sheet name
    // download file
    writeFileXLSX(wb, "sheetjs-gdg.xlsx");
  }, []);
  // ...
  return ( <>
    // ...
    // highlight-next-line
    <button onClick={exportXLSX}><b>Export XLSX!</b></button>
    // ...
  </> );
}
export default App;

Material UI Data Grid

Material UI Data Grid and React Data Grid share many state patterns and idioms. Differences from "React Data Grid" will be highlighted.

A complete example is included below.

:::warning

Despite presenting an editable UI, Material UI Data Grid version 5.17.0 does not update the state when values are changed. The demo uses the React Data Grid editable structure in the hopes that a future version does support state.

Until the issues are resolved, "React Data Grid" is an excellent choice.

:::

Rows and Columns State

The analogue of Column is GridColDef. The simple structure looks like:

// highlight-next-line
import { DataGrid, GridColDef } from "@mui/x-data-grid";

export default function App() {
  const [rows, setRows] = useState([]);
  const [columns, setColumns] = useState([]);

  return ( <DataGrid columns={columns} rows={rows} onRowsChange={setRows} /> );
}

The most generic data representation is an array of arrays. To sate the grid, columns must be objects whose field property is the index converted to string:

import { WorkSheet, utils } from 'xlsx';
// highlight-next-line
import { GridColDef } from "@mui/x-data-grid";

type Row = any[];
type RowCol = { rows: Row[]; columns: GridColDef[]; };

function ws_to_muidg(ws: WorkSheet): RowCol {
  /* create an array of arrays */
  const rows = utils.sheet_to_json(ws, { header: 1 });

  /* create column array */
  const range = utils.decode_range(ws["!ref"]||"A1");
  const columns = Array.from({ length: range.e.c + 1 }, (_, i) => ({
    // highlight-start
    field: String(i), // MUIDG will access row["0"], row["1"], etc
    headerName: utils.encode_col(i), // the column labels will be A, B, etc
    editable: true // enable cell editing
    // highlight-end
  }));

  return { rows, columns }; // these can be fed to setRows / setColumns
}

In the other direction, a worksheet can be generated with aoa_to_sheet:

:::caution

x-data-grid does not properly preserve row array objects, so the row arrays must be re-created. The snippet defines a arrayify function.

:::

import { WorkSheet, utils } from 'xlsx';

type Row = any[];

// highlight-start
function arrayify(rows: any[]): Row[] {
  return rows.map(row => {
    var length = Object.keys(row).length;
    for(; length > 0; --length) if(row[length-1] != null) break;
    return Array.from({length, ...row});
  });
}
// highlight-end

function muidg_to_ws(rows: Row[]): WorkSheet {
  return utils.aoa_to_sheet(arrayify(rows));
}

MUIDG Demo

Complete Example (click to show)

Follow the React Data Grid demo and generate the sample app.
Install dependencies:

npm i -S https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz @mui/x-data-grid @emotion/react @emotion/styled

Download App.tsx and replace src/App.tsx.
run npm start. When you load the page in the browser, it will attempt to fetch https://sheetjs.com/pres.numbers and load the data.

vue3-table-lite

:::note

This demo was tested against vue3-table-lite 1.2.4, VueJS 3.2.37, ViteJS 3.0.7, and @vitejs/plugin-vue 3.0.3 on 2022 August 18

:::

VueJS Demo

Complete Example (click to show)

Create a new ViteJS App using the VueJS + TypeScript template:

npm create vite@latest sheetjs-vue -- --template vue-ts
cd sheetjs-vue

Install dependencies:

npm i
npm i -S https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz vue3-table-lite

Download src/App.vue and replace the contents:

curl -L -o src/App.vue https://docs.sheetjs.com/vtl/App.vue

run npm run dev. When you load the page in the browser, it will try to fetch https://sheetjs.com/pres.numbers and load the data.

Rows and Columns Bindings

vue3-table-lite presents two attribute bindings: an array of column metadata (columns) and an array of objects representing the displayed data (rows). Typically both are ref objects:

<script setup lang="ts">
import { ref } from "vue";
import VueTableLite from "vue3-table-lite/ts";

/* rows */
type Row = any[];
const rows = ref<Row[]>([]);

/* columns */
type Column = { field: string; label: string; };
const columns = ref<Column[]>([]);
</script>

<template>
  <vue-table-lite :columns="columns" :rows="rows"></vue-table-lite>
</template>

These can be mutated through the value property in VueJS lifecycle methods:

import { onMounted } from "vue";
onMounted(() => {
  columns.value = [ { field: "name", label: "Names" }];
  rows.value = [ { name: "SheetJS" }, { name: "VueJS" } ];
})

The most generic data representation is an array of arrays. To sate the grid, columns must be objects whose field property is the index converted to string:

import { ref } from "vue";
import { utils } from 'xlsx';

/* generate row and column data */
function ws_to_vte(ws) {
  /* create an array of arrays */
  const rows = utils.sheet_to_json(ws, { header: 1 });

  /* create column array */
  const range = utils.decode_range(ws["!ref"]||"A1");
  const columns = Array.from({ length: range.e.c + 1 }, (_, i) => ({
    field: String(i), // VTE will access row["0"], row["1"], etc
    label: utils.encode_col(i), // the column labels will be A, B, etc
  }));

  return { rows, columns };
}

const rows = ref([]);
const columns = ref([]);

/* update refs */
function update_refs(ws) {
  const data = ws_to_vte(ws);
  rows.value = data.rows;
  columns.value = data.columns;
}

In the other direction, a worksheet can be generated with aoa_to_sheet:

import { utils } from 'xlsx';

const rows = ref([]);

function vte_to_ws(rows) {
  return utils.aoa_to_sheet(rows.value);
}

Standard HTML Tables

Many UI components present styled HTML tables. Data can be extracted from the tables given a reference to the underlying TABLE element:

function export_html_table(table) {
  const wb = XLSX.utils.table_to_book(table);
  XLSX.writeFile(wb, "HTMLTable.xlsx");
} // yes, it's that easy!

:::info

SheetJS CE is focused on data preservation and will extract values from tables.

SheetJS Pro offers styling support when reading from TABLE elements and when writing to XLSX and other spreadsheet formats.

:::

Fixed Tables

When the page has a raw HTML table, the easiest solution is to attach an id:

<table id="xport"><tr><td>SheetJS</td></tr></table>
<script src="https://cdn.sheetjs.com/xlsx-latest/package/dist/shim.min.js"></script>
<script src="https://cdn.sheetjs.com/xlsx-latest/package/dist/xlsx.full.min.js"></script>
<script>
/* as long as this script appears after the table, it will be visible */
var tbl = document.getElementById("xport");
const wb = XLSX.utils.table_to_book(tbl);
XLSX.writeFile(wb, "HTMLTable.xlsx");
</script>

When programmatically constructing the table in the browser, retain a reference:

var tbl = document.createElement("TABLE");
tbl.insertRow(0).insertCell(0).innerHTML = "SheetJS";
document.body.appendChild(tbl);
const wb = XLSX.utils.table_to_book(tbl);
XLSX.writeFile(wb, "HTMLFlicker.xlsx");
document.body.removeChild(tbl);

React

The typical solution is to attach a Ref to the table element. The current property will be a live reference which plays nice with table_to_book:

// highlight-next-line
import { useRef } from "react";

export default function ReactTable() {
// highlight-next-line
  const tbl = useRef(null);

  return ( <>
    <button onClick={() => {
      // highlight-next-line
      const wb = XLSX.utils.table_to_book(tbl.current);
      XLSX.writeFile(wb, "ReactTable.xlsx");
    }}>Export</button>
    // highlight-next-line
    <table ref={tbl}>
    {/* ... TR and TD/TH elements ... */}
    </table>
  </>);
}

Material UI Table

The Table component abstracts the <table> element in HTML.

import TableContainer from '@mui/material/TableContainer';
import Table from '@mui/material/Table';
// ...
// highlight-next-line
import { useRef } from "react";

// ...
export default function BasicTable() {
// highlight-next-line
  const tbl = useRef<HTMLTableElement>(null);
  return (<>
    <button onClick={() => {
      const wb = utils.table_to_book(tbl.current);
      writeFileXLSX(wb, "SheetJSMaterialUI.xlsx");
    }}>Export</button>
    <TableContainer {...}>
// highlight-next-line
      <Table {...} ref={tbl}>
      {/* ... material ui table machinations ... */}
      </Table>
    </TableContainer>
  <>);
}

Complete Example (click to show)

Create a new TypeScript create-react-app app:

npx create-react-app sheetjs-mui --template typescript
cd sheetjs-mui

Install dependencies:

npm i -S https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz @mui/material

Replace src/App.tsx with the following code. This is based on the official Material UI Table example. Differences are highlighted.

// highlight-start
import React, { useEffect, useState, useRef, ChangeEvent } from "react";
import { utils, writeFileXLSX } from 'xlsx';
// highlight-end
import Table from '@mui/material/Table';
import TableBody from '@mui/material/TableBody';
import TableCell from '@mui/material/TableCell';
import TableContainer from '@mui/material/TableContainer';
import TableHead from '@mui/material/TableHead';
import TableRow from '@mui/material/TableRow';
import Paper from '@mui/material/Paper';

function createData(
  name: string,
  calories: number,
  fat: number,
  carbs: number,
  protein: number,
) {
  return { name, calories, fat, carbs, protein };
}

const rows = [
  createData('Frozen yoghurt', 159, 6.0, 24, 4.0),
  createData('Ice cream sandwich', 237, 9.0, 37, 4.3),
  createData('Eclair', 262, 16.0, 24, 6.0),
  createData('Cupcake', 305, 3.7, 67, 4.3),
  createData('Gingerbread', 356, 16.0, 49, 3.9),
];

export default function BasicTable() {
  // highlight-start
  const tbl = useRef<HTMLTableElement>(null);
  return ( <>
    <button onClick={() => {
      const wb = utils.table_to_book(tbl.current);
      writeFileXLSX(wb, "SheetJSMaterialUI.xlsx");
    }}>Export</button>
    // highlight-end
    <TableContainer component={Paper}>
      // highlight-next-line
      <Table sx={{ minWidth: 650 }} aria-label="simple table" ref={tbl}>
        <TableHead>
          <TableRow>
            <TableCell>Dessert (100g serving)</TableCell>
            <TableCell align="right">Calories</TableCell>
            <TableCell align="right">Fat&nbsp;(g)</TableCell>
            <TableCell align="right">Carbs&nbsp;(g)</TableCell>
            <TableCell align="right">Protein&nbsp;(g)</TableCell>
          </TableRow>
        </TableHead>
        <TableBody>
          {rows.map((row) => (
            <TableRow
              key={row.name}
              sx={{ '&:last-child td, &:last-child th': { border: 0 } }}
            >
              <TableCell component="th" scope="row">
                {row.name}
              </TableCell>
              <TableCell align="right">{row.calories}</TableCell>
              <TableCell align="right">{row.fat}</TableCell>
              <TableCell align="right">{row.carbs}</TableCell>
              <TableCell align="right">{row.protein}</TableCell>
            </TableRow>
          ))}
        </TableBody>
      </Table>
    </TableContainer>
    // highlight-next-line
  </> );
}

run npm start. Click the "Export" button and inspect the generated file.

29 KiB Raw Blame History

Managed Lifecycle

x-spreadsheet

Canvas DataGrid

Tabulator

Angular UI Grid

Framework Lifecycle

React Data Grid

RDG Demo

Rows and Columns state

Glide Data Grid

GDG Demo

Backing Store

GDG Props

Parsing Data

Writing Data

Material UI Data Grid

MUIDG Demo

vue3-table-lite

VueJS Demo

Rows and Columns Bindings

Standard HTML Tables

Fixed Tables

React

Material UI Table

29 KiB

Raw Blame History