Internationalization in Blazor Charts Component

17 Nov 20232 minutes to read

Internationalization is the process of designing and developing a component that can be easily adapted for users from any culture, region, or language. Below elements in the Chart display content based on the internationalization configuration.

  • Data label.
  • Axis label.
  • Tooltip.


LabelFormat property in axis is used to globalize the number, date and time value of the elements such as Axis label, Data label, and Tooltip in the Chart component.

In the below example, axis, point and tooltip labels are globalized to EUR.

@using Syncfusion.Blazor.Charts

<SfChart Title="Average Sales Comparison">
    <ChartPrimaryXAxis Title="Year"></ChartPrimaryXAxis>

    <ChartPrimaryYAxis LabelFormat="c" Title="Sales Amount in Millions">

    <ChartTooltipSettings Enable="true" Format="${} <br>${point.x} : ${point.y}">

        <ChartSeries DataSource="@SalesReports" XName="X" YName="Y" Type="ChartSeriesType.Column" Name="Product X">
                <ChartDataLabel Visible="true"></ChartDataLabel>
        <ChartSeries DataSource="@SalesReports" XName="X" YName="Y1" Type="ChartSeriesType.Column" Name="Product Y">
                <ChartDataLabel Visible="true"></ChartDataLabel>

    public class ChartData
        public double X { get; set; }
        public double Y { get; set; }
        public double Y1 { get; set; }

    public List<ChartData> SalesReports = new List<ChartData>
        new ChartData {X= 1900, Y= 4, Y1= 2.6 },
        new ChartData{ X= 1920, Y= 3.0, Y1= 2.8 },
        new ChartData{ X= 1940, Y= 3.8, Y1= 2.6},
        new ChartData{ X= 1960, Y= 3.4, Y1= 3 },
        new ChartData{ X= 1980, Y= 3.2, Y1= 3.6 },
        new ChartData{ X= 2000, Y= 3.9, Y1= 3 }

Globalization in Blazor Column Chart

Label format

Learn more about axis label format in-relation to axis types from the pages below.


Refer to our Blazor Charts feature tour page for its groundbreaking feature representations and also explore our Blazor Chart Example to know various chart types and how to represent time-dependent data, showing trends at equal intervals.

See also