Bar Charts in Blazor Charts Component

6 Feb 20247 minutes to read

Bar

Bar Chart is the most commonly used chart type to compare different categories of data, such as Frequency, Count, Total, or Average displayed in horizontal bars. It is ideal for showing variations in the value of an item over time. To render a bar series, set series Type as Bar.

@using Syncfusion.Blazor.Charts

<SfChart Title="Olympic Medals">
    <ChartPrimaryXAxis ValueType="Syncfusion.Blazor.Charts.ValueType.Category">
    </ChartPrimaryXAxis>

    <ChartSeriesCollection>
        <ChartSeries DataSource="@MedalDetails" XName="Country" YName="Gold" Type="ChartSeriesType.Bar">
        </ChartSeries>
    </ChartSeriesCollection>
</SfChart>

@code{
    public class ChartData
    {
        public string Country { get; set; }
        public double Gold { get; set; }
    }

    public List<ChartData> MedalDetails = new List<ChartData>
	{
		new ChartData{ Country= "USA", Gold=50  },
		new ChartData{ Country="China", Gold=40 },
		new ChartData{ Country= "Japan", Gold=70 },
		new ChartData{ Country= "Australia", Gold=60},
		new ChartData{ Country= "France", Gold=50 },
		new ChartData{ Country= "Germany", Gold=40 },
		new ChartData{ Country= "Italy", Gold=40 },
		new ChartData{ Country= "Sweden", Gold=30 }
    };
}

NOTE

Refer to our Blazor Bar Charts feature tour page to know about its other groundbreaking feature representations. Explore our Blazor Bar Chart Example to compare values across categories by using horizontal bars.

Bar space and width

The ColumnSpacing and ColumnWidth properties are used to customize the space between bars.

@using Syncfusion.Blazor.Charts

<SfChart Title="Olympic Medals">
    <ChartPrimaryXAxis ValueType="Syncfusion.Blazor.Charts.ValueType.Category">
    </ChartPrimaryXAxis>

    <ChartSeriesCollection>
        <ChartSeries DataSource="@MedalDetails" XName="Country" YName="Gold" ColumnSpacing="0.2" ColumnWidth="0.7" Type="ChartSeriesType.Bar">
        </ChartSeries>
    </ChartSeriesCollection>
</SfChart>

@code{
    public class ChartData
    {
        public string Country { get; set; }
        public double Gold { get; set; }
    }

    public List<ChartData> MedalDetails = new List<ChartData>
    {
        new ChartData{ Country= "USA", Gold=50  },
        new ChartData{ Country="China", Gold=40 },
        new ChartData{ Country= "Japan", Gold=70 },
        new ChartData{ Country= "Australia", Gold=60},
        new ChartData{ Country= "France", Gold=50 },
        new ChartData{ Country= "Germany", Gold=40 },
        new ChartData{ Country= "Italy", Gold=40 },
        new ChartData{ Country= "Sweden", Gold=30 }
    };
}

Blazor Bar Chart with Space and Width

Grouped bar

You can use the GroupName property to group the data points in the bar type charts. Data points with same group name are grouped together.

@using Syncfusion.Blazor.Charts

<SfChart>
        <ChartPrimaryXAxis ValueType="@Syncfusion.Blazor.Charts.ValueType.Category">
        </ChartPrimaryXAxis>
        <ChartSeriesCollection>
            <ChartSeries DataSource="@ChartPoints" XName="Year" YName="USA_Total" GroupName="USA" ColumnWidth="0.7" ColumnSpacing="0.1" Type="ChartSeriesType.Bar">
            </ChartSeries>
            <ChartSeries DataSource="@ChartPoints" XName="Year" YName="USA_Gold" GroupName="USA" ColumnWidth="0.5" ColumnSpacing="0.1" Type="ChartSeriesType.Bar">
             </ChartSeries>
            <ChartSeries DataSource="@ChartPoints" XName="Year" YName="UK_Total" GroupName="UK" ColumnWidth="0.7" ColumnSpacing="0.1" Type="ChartSeriesType.Bar">
            </ChartSeries>
            <ChartSeries DataSource="@ChartPoints" XName="Year" YName="UK_Gold" GroupName="UK" ColumnWidth="0.5" ColumnSpacing="0.1" Type="ChartSeriesType.Bar">
            </ChartSeries>
        </ChartSeriesCollection>
    </SfChart>

@code{
    public class ColumnData
    {
        public string Year { get; set; }
        public double USA_Total { get; set; }
        public double USA_Gold { get; set; }
        public double UK_Total { get; set; }
        public double UK_Gold { get; set; }
        public double China_Total { get; set; }
        public double China_Gold { get; set; }
    }
    public List<ColumnData> ChartPoints { get; set; } = new List<ColumnData>
    {
        new ColumnData { Year = "2012", USA_Total = 104, USA_Gold = 46, UK_Total = 65, UK_Gold = 29, China_Total = 91, China_Gold = 38},
        new ColumnData { Year = "2016", USA_Total = 121, USA_Gold = 46, UK_Total = 67, UK_Gold = 27, China_Total = 70, China_Gold = 26},
        new ColumnData { Year = "2020", USA_Total = 113, USA_Gold = 39, UK_Total = 65, UK_Gold = 22, China_Total = 88, China_Gold = 38},
    };
}

Grouping in Blazor Grouped Bar Chart

Series customization

The following properties can be used to customize the Bar series.

@using Syncfusion.Blazor.Charts

<SfChart Title="Olympic Medals">
    <ChartPrimaryXAxis ValueType="Syncfusion.Blazor.Charts.ValueType.Category">
    </ChartPrimaryXAxis>

    <ChartSeriesCollection>
        <ChartSeries DataSource="@MedalDetails" XName="Country" YName="Gold" Opacity="0.5" DashArray="5,5" Fill="blue" Type="ChartSeriesType.Bar">
        <ChartSeriesBorder Width="2" Color="red"></ChartSeriesBorder>
        </ChartSeries>
    </ChartSeriesCollection>
</SfChart>

@code{
    public class ChartData
    {
        public string Country { get; set; }
        public double Gold { get; set; }
    }

    public List<ChartData> MedalDetails = new List<ChartData>
    {
        new ChartData{ Country= "USA", Gold=50  },
        new ChartData{ Country="China", Gold=40 },
        new ChartData{ Country= "Japan", Gold=70 },
        new ChartData{ Country= "Australia", Gold=60},
        new ChartData{ Country= "France", Gold=50 },
        new ChartData{ Country= "Germany", Gold=40 },
        new ChartData{ Country= "Italy", Gold=40 },
        new ChartData{ Country= "Sweden", Gold=30 }
    };
}

Blazor Bar Chart with Custom Series

NOTE

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