Angular Binding CSV Files with Geographic Locations
With the Ignite UI for Angular map component, you can plot geographic data loaded from various file types. For example, you can load geographic locations from a comma separated values (CSV) file.
Angular Binding CSV Files with Geographic Locations Example
Data Example
Here is an example of data from CSV file:
City,Lat,Lon,State,Code,County,Density,Population
New York,40.7856,-74.0093,New Jersey,NJ,Hudson,21057,54227
Dundee,42.5236,-76.9775,New York,NY,Yates,579,1650
Code Snippet
The following code loads and binds IgxGeographicHighDensityScatterSeriesComponent
in the map component to an array of objects created from loaded CSV file with geographic locations.
<div className="sampleRoot" >
<igx-geographic-map #map
width="700px"
height="500px"
zoomable="true" >
</igx-geographic-map>
</div>
<ng-template let-series="series" let-item="item" #template>
<div>
<span>
County: {{item.county}}
</span>
<br/>
<span>
Population: {{item.density}} K
</span>
</div>
</ng-template>
import { AfterViewInit, Component, TemplateRef, ViewChild } from "@angular/core";
import { IgxGeographicHighDensityScatterSeriesComponent } from "igniteui-angular-maps";
import { IgxGeographicMapComponent } from 'igniteui-angular-maps';
@Component({
selector: "app-map-binding-geographic-csv_files",
styleUrls: ["./map-binding-geographic-csv_files.component.scss"],
templateUrl: "./map-binding-geographic-csv_files.component.html"
})
export class MapBindingDataCsvComponent implements AfterViewInit {
@ViewChild ("map")
public map: IgxGeographicMapComponent;
@ViewChild("template")
public tooltip: TemplateRef<object>;
constructor() {
}
public ngAfterViewInit(): void {
this.componentDidMount();
}
public componentDidMount() {
// fetching JSON data with geographic locations from public folder
fetch("assets/Data/UsaCities.csv")
.then((response) => response.text())
.then((data) => this.onDataLoaded(data));
}
public onDataLoaded(csvData: string) {
const csvLines = csvData.split("\n");
// parsing CSV data and creating geographic locations
const geoLocations: any[] = [];
for (let i = 1; i < csvLines.length; i++) {
const columns = csvLines[i].split(",");
const location = {
code: columns[4],
county: columns[5],
density: Number(columns[6]),
latitude: Number(columns[1]),
longitude: Number(columns[2]),
name: columns[0],
population: Number(columns[7]),
state: columns[3]
};
geoLocations.push(location);
}
// creating HD series with loaded data
const geoSeries = new IgxGeographicHighDensityScatterSeriesComponent();
geoSeries.dataSource = geoLocations;
geoSeries.latitudeMemberPath = "latitude";
geoSeries.longitudeMemberPath = "longitude";
geoSeries.heatMaximumColor = "Red";
geoSeries.heatMinimumColor = "Black";
geoSeries.heatMinimum = 0;
geoSeries.heatMaximum = 5;
geoSeries.pointExtent = 1;
geoSeries.tooltipTemplate = this.tooltip;
geoSeries.mouseOverEnabled = true;
// adding symbol series to the geographic amp
this.map.series.add(geoSeries);
}
}
API References
IgxGeographicHighDensityScatterSeriesComponent
DataSource
latitudeMemberPath
longitudeMemberPath
heatMaximumColor
heatMinimumColor
pointExtent
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