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