React Data Grid - Multi-Level Headers (Bands)

Our DataGrid component allows you to group multiple columns under one header (band). This demo shows an example: the "Nominal GDP" and "Population" bands have banded columns.

You can drag one of the bands across the grid to reorder all its banded columns simultaneously. You can also move the band to the column chooser and hide the banded columns. Banded columns remain interactive.

www.wikipedia.org

Was this demo helpful?

Thank you!

Feel free to share demo-related thoughts here.
If you have technical questions, please create a support ticket in the DevExpress Support Center.

Thank you for the feedback!

TS JS

Backend API

import React from 'react'; import DataGrid, { Column, ColumnChooser } from 'devextreme-react/data-grid'; import { countries } from './data.ts'; const gdpFormat = { type: 'percent', precision: 1, }; const renderAreaCellHeader = () => <div>Area, km<sup>2</sup></div>; const App = () => ( <> <div id="long-title"> <h3>Country Area, Population, and GDP Structure</h3> </div> <DataGrid id="grid" dataSource={countries} keyExpr="ID" columnAutoWidth={true} allowColumnReordering={true} width="100%" showBorders={true} > <ColumnChooser enabled={true} /> <Column dataField="Country" /> <Column dataField="Area" headerCellRender={renderAreaCellHeader} /> <Column caption="Population"> <Column dataField="Population_Total" caption="Total" format="fixedPoint" /> <Column dataField="Population_Urban" caption="Urban" format="percent" /> </Column> <Column caption="Nominal GDP"> <Column dataField="GDP_Total" caption="Total, mln $" format="fixedPoint" sortOrder="desc" /> <Column caption="By Sector"> <Column dataField="GDP_Agriculture" caption="Agriculture" format={gdpFormat} width={95} /> <Column dataField="GDP_Industry" caption="Industry" format={gdpFormat} width={80} /> <Column dataField="GDP_Services" caption="Services" format={gdpFormat} width={85} /> </Column> </Column> </DataGrid> </> ); export default App;

import React from 'react'; import DataGrid, { Column, ColumnChooser } from 'devextreme-react/data-grid'; import { countries } from './data.js'; const gdpFormat = { type: 'percent', precision: 1, }; const renderAreaCellHeader = () => ( <div> Area, km<sup>2</sup> </div> ); const App = () => ( <React.Fragment> <div id="long-title"> <h3>Country Area, Population, and GDP Structure</h3> </div> <DataGrid id="grid" dataSource={countries} keyExpr="ID" columnAutoWidth={true} allowColumnReordering={true} width="100%" showBorders={true} > <ColumnChooser enabled={true} /> <Column dataField="Country" /> <Column dataField="Area" headerCellRender={renderAreaCellHeader} /> <Column caption="Population"> <Column dataField="Population_Total" caption="Total" format="fixedPoint" /> <Column dataField="Population_Urban" caption="Urban" format="percent" /> </Column> <Column caption="Nominal GDP"> <Column dataField="GDP_Total" caption="Total, mln $" format="fixedPoint" sortOrder="desc" /> <Column caption="By Sector"> <Column dataField="GDP_Agriculture" caption="Agriculture" format={gdpFormat} width={95} /> <Column dataField="GDP_Industry" caption="Industry" format={gdpFormat} width={80} /> <Column dataField="GDP_Services" caption="Services" format={gdpFormat} width={85} /> </Column> </Column> </DataGrid> </React.Fragment> ); export default App;

import React from 'react'; import ReactDOM from 'react-dom'; import App from './App.tsx'; ReactDOM.render( <App />, document.getElementById('app'), );

export const countries = [{ ID: 1, Country: 'Brazil', Area: 8515767, Population_Urban: 0.85, Population_Rural: 0.15, Population_Total: 205809000, GDP_Agriculture: 0.054, GDP_Industry: 0.274, GDP_Services: 0.672, GDP_Total: 2353025, }, { ID: 2, Country: 'China', Area: 9388211, Population_Urban: 0.54, Population_Rural: 0.46, Population_Total: 1375530000, GDP_Agriculture: 0.091, GDP_Industry: 0.426, GDP_Services: 0.483, GDP_Total: 10380380, }, { ID: 3, Country: 'France', Area: 675417, Population_Urban: 0.79, Population_Rural: 0.21, Population_Total: 64529000, GDP_Agriculture: 0.019, GDP_Industry: 0.183, GDP_Services: 0.798, GDP_Total: 2846889, }, { ID: 4, Country: 'Germany', Area: 357021, Population_Urban: 0.75, Population_Rural: 0.25, Population_Total: 81459000, GDP_Agriculture: 0.008, GDP_Industry: 0.281, GDP_Services: 0.711, GDP_Total: 3859547, }, { ID: 5, Country: 'India', Area: 3287590, Population_Urban: 0.32, Population_Rural: 0.68, Population_Total: 1286260000, GDP_Agriculture: 0.174, GDP_Industry: 0.258, GDP_Services: 0.569, GDP_Total: 2047811, }, { ID: 6, Country: 'Italy', Area: 301230, Population_Urban: 0.69, Population_Rural: 0.31, Population_Total: 60676361, GDP_Agriculture: 0.02, GDP_Industry: 0.242, GDP_Services: 0.738, GDP_Total: 2147952, }, { ID: 7, Country: 'Japan', Area: 377835, Population_Urban: 0.93, Population_Rural: 0.07, Population_Total: 126920000, GDP_Agriculture: 0.012, GDP_Industry: 0.275, GDP_Services: 0.714, GDP_Total: 4616335, }, { ID: 8, Country: 'Russia', Area: 17098242, Population_Urban: 0.74, Population_Rural: 0.26, Population_Total: 146544710, GDP_Agriculture: 0.039, GDP_Industry: 0.36, GDP_Services: 0.601, GDP_Total: 1857461, }, { ID: 9, Country: 'United States', Area: 9147420, Population_Urban: 0.81, Population_Rural: 0.19, Population_Total: 323097000, GDP_Agriculture: 0.0112, GDP_Industry: 0.191, GDP_Services: 0.797, GDP_Total: 17418925, }, { ID: 10, Country: 'United Kingdom', Area: 244820, Population_Urban: 0.82, Population_Rural: 0.18, Population_Total: 65097000, GDP_Agriculture: 0.007, GDP_Industry: 0.21, GDP_Services: 0.783, GDP_Total: 2945146, }];

import React from 'react'; import ReactDOM from 'react-dom'; import App from './App.js'; ReactDOM.render(<App />, document.getElementById('app'));

export const countries = [ { ID: 1, Country: 'Brazil', Area: 8515767, Population_Urban: 0.85, Population_Rural: 0.15, Population_Total: 205809000, GDP_Agriculture: 0.054, GDP_Industry: 0.274, GDP_Services: 0.672, GDP_Total: 2353025, }, { ID: 2, Country: 'China', Area: 9388211, Population_Urban: 0.54, Population_Rural: 0.46, Population_Total: 1375530000, GDP_Agriculture: 0.091, GDP_Industry: 0.426, GDP_Services: 0.483, GDP_Total: 10380380, }, { ID: 3, Country: 'France', Area: 675417, Population_Urban: 0.79, Population_Rural: 0.21, Population_Total: 64529000, GDP_Agriculture: 0.019, GDP_Industry: 0.183, GDP_Services: 0.798, GDP_Total: 2846889, }, { ID: 4, Country: 'Germany', Area: 357021, Population_Urban: 0.75, Population_Rural: 0.25, Population_Total: 81459000, GDP_Agriculture: 0.008, GDP_Industry: 0.281, GDP_Services: 0.711, GDP_Total: 3859547, }, { ID: 5, Country: 'India', Area: 3287590, Population_Urban: 0.32, Population_Rural: 0.68, Population_Total: 1286260000, GDP_Agriculture: 0.174, GDP_Industry: 0.258, GDP_Services: 0.569, GDP_Total: 2047811, }, { ID: 6, Country: 'Italy', Area: 301230, Population_Urban: 0.69, Population_Rural: 0.31, Population_Total: 60676361, GDP_Agriculture: 0.02, GDP_Industry: 0.242, GDP_Services: 0.738, GDP_Total: 2147952, }, { ID: 7, Country: 'Japan', Area: 377835, Population_Urban: 0.93, Population_Rural: 0.07, Population_Total: 126920000, GDP_Agriculture: 0.012, GDP_Industry: 0.275, GDP_Services: 0.714, GDP_Total: 4616335, }, { ID: 8, Country: 'Russia', Area: 17098242, Population_Urban: 0.74, Population_Rural: 0.26, Population_Total: 146544710, GDP_Agriculture: 0.039, GDP_Industry: 0.36, GDP_Services: 0.601, GDP_Total: 1857461, }, { ID: 9, Country: 'United States', Area: 9147420, Population_Urban: 0.81, Population_Rural: 0.19, Population_Total: 323097000, GDP_Agriculture: 0.0112, GDP_Industry: 0.191, GDP_Services: 0.797, GDP_Total: 17418925, }, { ID: 10, Country: 'United Kingdom', Area: 244820, Population_Urban: 0.82, Population_Rural: 0.18, Population_Total: 65097000, GDP_Agriculture: 0.007, GDP_Industry: 0.21, GDP_Services: 0.783, GDP_Total: 2945146, }, ];

<!DOCTYPE html> <html lang="en"> <head> <title>DevExtreme Demo</title> <meta http-equiv="X-UA-Compatible" content="IE=edge" /> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=5.0" /> <link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/24.1.7/css/dx.light.css" /> <link rel="stylesheet" type="text/css" href="styles.css" /> <script src="https://unpkg.com/core-js@2.6.12/client/shim.min.js"></script> <script src="https://unpkg.com/systemjs@0.21.3/dist/system.js"></script> <script type="text/javascript" src="config.js"></script> <script type="text/javascript"> System.import("./index.tsx"); </script> </head> <body class="dx-viewport"> <div class="demo-container"> <div id="app"></div> </div> </body> </html>

#grid sup { font-size: 0.8em; vertical-align: super; line-height: 0; } #long-title { position: absolute; top: -5px; left: 0; right: 45px; z-index: 1; } #long-title h3 { font-family: 'Segoe UI Light', 'Helvetica Neue Light', 'Segoe UI', 'Helvetica Neue', 'Trebuchet MS', Verdana; font-weight: 200; font-size: 28px; text-align: center; margin: 0 0 0 45px; }

To create the banded layout, do one of the following:

Assign a hierarchical structure to the columns property. The code in this demo is an example.
Implement a customizeColumns function where you should specify the ownerBand and isBand column properties. Refer to the isBand description for a code sample.