Using AngularJS to integrate Highcharts with live updating data fetched via AJAX

Currently, I am in the process of learning Javascript and AngularJS through a combination of two examples: Spring MVC and AngularJS as well as AngularJS and Highcharts.

One particular aspect that has been quite challenging for me involves integrating the "prices" data from a backend Spring REST API into an AngularJS client interface. At the moment, the table displaying these prices dynamically updates with ease, showcasing an elegant solution.

<div style="height:300px;width:250px;overflow:auto;float:left;">
    <table class="table table-striped">
       <tr ng-repeat="price in book.prices">
          <td>{{price}}</td>
       </tr>
    </table>
</div>

Furthermore, I encountered some obstacles when trying to incorporate dynamic data into a Highcharts display using AngularJS. While initial attempts with static values proved successful, linking the chart to live backend updates posed a considerable challenge.

<div style="border: 1px solid #ccc; width: 620px; float: right">
     <highchart id="chart1" config="chartConfig"></highchart>
</div>

In my journey towards resolving this issue, I explored various methods including attempting to update the chart with real-time price data fetched from the server side. Despite referring to external resources like How to produce a highchart (using angular js) with json data coming from an Ajax request, achieving seamless integration remains elusive.

My quest now is to discover a more graceful approach similar to how the prices table effortlessly showcases dynamic data from the backend. Any insights or suggestions on achieving this with Highcharts would be greatly appreciated.

Answer №1

To modify the data in your chart configuration, you can try this approach:

$scope.chartConfig.series[0].data = $scope.book.prices 

Alternatively, you can structure the series using an object like so:

var prices = {data: [60.5, 55.7]}; // Using static data

$scope.chartConfig = {
    options : {
        chart : {
            type : 'line'
        }
    },
    series : [ prices ],
    title : {
        text : 'Monthly Book Prices'
    },

    loading : false
}

Afterwards, you can update the data as follows:

prices.data = [60.5, 55.7]

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