Angular Vinculando arquivos CSV com localizações geográficas
Com o componente Ignite UI for Angular mapa, você pode plotar dados geográficos carregados de vários tipos de arquivo. Por exemplo, você pode carregar localizações geográficas de um arquivo CSV (valores separados por vírgula).
Angular Binding CSV Files with Geographic Locations Example
Data Example
Aqui está um exemplo de dados do arquivo CSV:
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
O código a seguir é carregado e vinculado IgxGeographicHighDensityScatterSeriesComponent
no componente de mapa a uma matriz de objetos criados a partir do arquivo CSV carregado com localizações geográficas.
<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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