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.
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.
www.wikipedia.org
Feel free to share demo-related thoughts here.
If you have technical questions, please create a support ticket in the DevExpress Support Center.
If you have technical questions, please create a support ticket in the DevExpress Support Center.
Thank you!
We appreciate your feedback.
We appreciate your feedback.
window.onload = function() {
var viewModel = {
gridOptions: {
dataSource: countries,
columnAutoWidth: true,
allowColumnReordering: true,
showBorders: true,
columns: ["Country", {
headerCellTemplate: function(container) {
container.append($("<div>Area, km<sup>2</sup></div>"));
},
dataField: "Area"
}, {
caption: "Population",
columns: [{
caption: "Total",
dataField: "Population_Total",
format: "fixedPoint"
}, {
caption: "Urban",
dataField: "Population_Urban",
format: "percent"
}]
}, {
caption: "Nominal GDP",
columns: [{
caption: "Total, mln $",
dataField: "GDP_Total",
format: "fixedPoint",
sortOrder: "desc"
}, {
caption: "By Sector",
columns: [{
caption: "Agriculture",
width: 95,
dataField: "GDP_Agriculture",
format: {
type: "percent",
precision: 1
}
}, {
caption: "Industry",
width: 80,
dataField: "GDP_Industry",
format: {
type: "percent",
precision: 1
}
}, {
caption: "Services",
width: 85,
dataField: "GDP_Services",
format: {
type: "percent",
precision: 1
}
}]
}]
}]
}
};
ko.applyBindings(viewModel, document.getElementById("grid"));
};
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<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=1.0" />
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script>window.jQuery || document.write(decodeURIComponent('%3Cscript src="js/jquery.min.js"%3E%3C/script%3E'))</script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/knockout/3.4.2/knockout-min.js"></script>
<link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/20.2.7/css/dx.common.css" />
<link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/20.2.7/css/dx.light.css" />
<script src="https://cdn3.devexpress.com/jslib/20.2.7/js/dx.all.js"></script>
<script src="data.js"></script>
<link rel="stylesheet" type="text/css" href="styles.css" />
<script src="index.js"></script>
</head>
<body class="dx-viewport">
<div class="demo-container">
<div class="long-title"><h3>Country Area, Population, and GDP Structure</h3></div>
<div id="grid">
<div id="gridContainer" data-bind="dxDataGrid: gridOptions"></div>
<div>
</div>
</body>
</html>
#gridContainer sup {
font-size: 0.8em;
vertical-align: super;
line-height: 0;
}
.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-bottom: 20px;
}
var 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
}];