Column Chart in ASP.NET MVC Charts Component
14 Oct 202424 minutes to read
Column
To render a column series in your chart, you need to follow a few steps to configure it correctly. Here’s a concise guide on how to do this:
-
Set the series type: Define the series
Type
as Column in your chart configuration. This indicates that the data should be represented as a column chart, which is ideal for visualizing for comparing different categories of data or tracking changes over time.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Name("Gold").
Add();
})
.PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
)
.Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Binding data with series
You can bind data to the chart using the DataSource
property within the series configuration. This allows you to connect a JSON dataset or remote data to your chart. To display the data correctly, map the fields from the data to the chart series XName
and YName
properties.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Name("Gold").
Add();
})
.PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
)
.Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Series customization
The following properties can be used to customize the column
series.
Fill
The Fill
property determines the color applied to the series.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Name("Gold").Fill("blue").
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
The Fill
property can be used to apply a gradient color to the column series. By configuring this property with gradient values, you can create a visually appealing effect in which the color transitions smoothly from one shade to another.
<svg style="width:1px; height:1px">
<defs>
<linearGradient id="gradient">
<stop offset="0%" style="stop-color:blue;stop-opacity:5" />
<stop offset="50%" style="stop-color:violet;stop-opacity:5" />
</linearGradient>
</defs>
</svg>
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Name("Gold").Fill("url(#gradient)").
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Opacity
The Opacity
property specifies the transparency level of the fill. Adjusting this property allows you to control how opaque or transparent the fill color of the series appears.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Name("Gold").
Opacity(0.5).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Dash array
The DashArray
property determines the pattern of dashes and gaps in the series.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Border(ViewBag.border).
DashArray("5,5").
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
).Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
ChartBorder border = new ChartBorder();
border.Width = 2;
border.Color = "#FFA500";
ViewBag.border = border;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Border
Use the Border
property to customize the width and color of the series border.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
Border(ViewBag.border).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
).Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
ChartBorder border = new ChartBorder();
border.Width = 2;
border.Color = "#FFA500";
ViewBag.border = border;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Column space and width
Column space
Use the ColumnSpacing
property in the series to adjust the space between columns.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
ColumnSpacing(0.5).
Add();
}).PrimaryXAxis(px => px.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)).Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Column width
Use the ColumnWidth
property in the series to adjust the width of the columns.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
ColumnWidth(0.75).
Add();
}).PrimaryXAxis(px => px.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)).Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Column width in pixel
Use the ColumnWidthInPixel
property in the series to define the exact width of the columns in pixels. This property ensures that each column maintains the specified width, providing a uniform appearance throughout the chart.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("x").
YName("y").
DataSource(ViewBag.dataSource).
ColumnWidthInPixel(10).
Add();
}).PrimaryXAxis(px => px.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)).Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { x= "South Korea", y= 39.4 },
new AxisLabelData { x= "India", y= 61.3 },
new AxisLabelData { x= "Pakistan", y= 20.4 },
new AxisLabelData { x= "Germany", y= 65.1 },
new AxisLabelData { x= "Australia", y= 15.8 },
new AxisLabelData { x= "Italy", y= 29.2 },
new AxisLabelData { x= "United Kingdom", y= 44.6 },
new AxisLabelData { x= "Saudi Arabia", y= 9.7 },
new AxisLabelData { x= "Russia", y= 40.8 },
new AxisLabelData { x= "Mexico", y= 31 },
new AxisLabelData { x= "Brazil", y= 75.9 },
new AxisLabelData { x= "China", y= 51.4 }
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string x;
public double y;
}
Grouped column
Use the GroupName
property to group the data points in column type charts. Data points with the same group name will be grouped together in the chart, making it easy to compare different sets of data.
@Html.EJS().Chart("container")
.PrimaryXAxis(px =>
px.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.MajorGridLines(mg => mg.Width(0))
.Interval(1))
.PrimaryYAxis(py =>
py.LabelStyle(ls => ls.Color("transparent"))
.LineStyle(ls => ls.Width(0))
.MajorTickLines(mt => mt.Width(0))
.MajorGridLines(mg => mg.Width(0))
.MinorGridLines(mg => mg.Width(0)))
.ChartArea(area => area.Border(br => br.Width(0)))
.Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).XName("Year").YName("USA_Total")
.Width(2).ColumnWidth(0.7).ColumnSpacing(0.1).Name("USA Total").GroupName("USA")
.Marker(marker => marker.DataLabel(label => label.Visible(true).Position(Syncfusion.EJ2.Charts.LabelPosition.Top)
.Font(font => font.FontWeight("600").Color("#FFFFFF")))).DataSource(ViewBag.data).Add();
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).XName("Year").YName("USA_Gold")
.Width(2).ColumnWidth(0.5).Opacity(0.4).ColumnSpacing(0.1).Name("USA Gold").GroupName("USA")
.Marker(marker => marker.DataLabel(label => label.Visible(true).Position(Syncfusion.EJ2.Charts.LabelPosition.Top)
.Font(font => font.FontWeight("600").Color("#FFFFFF")))).DataSource(ViewBag.data).Add();
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).XName("Year").YName("UK_Total")
.Width(2).ColumnWidth(0.7).ColumnSpacing(0.1).Name("UK Total").GroupName("UK")
.Marker(marker => marker.DataLabel(label => label.Visible(true).Position(Syncfusion.EJ2.Charts.LabelPosition.Top)
.Font(font => font.FontWeight("600").Color("#FFFFFF")))).DataSource(ViewBag.data).Add();
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).XName("Year").YName("UK_Gold")
.Width(2).ColumnWidth(0.5).ColumnSpacing(0.1).Name("UK Gold").GroupName("UK")
.Marker(marker => marker.DataLabel(label => label.Visible(true).Position(Syncfusion.EJ2.Charts.LabelPosition.Top)
.Font(font => font.FontWeight("600").Color("#FFFFFF")))).DataSource(ViewBag.data).Add();
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).XName("Year").YName("China_Total")
.Width(2).ColumnWidth(0.7).ColumnSpacing(0.1).Name("China Total").GroupName("China")
.Marker(marker => marker.DataLabel(label => label.Visible(true).Position(Syncfusion.EJ2.Charts.LabelPosition.Top)
.Font(font => font.FontWeight("600").Color("#FFFFFF")))).DataSource(ViewBag.data).Add();
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).XName("Year").YName("China_Gold")
.Width(2).ColumnWidth(0.5).ColumnSpacing(0.1).Name("China Gold").GroupName("China")
.Marker(marker => marker.DataLabel(label => label.Visible(true).Position(Syncfusion.EJ2.Charts.LabelPosition.Top)
.Font(font => font.FontWeight("600").Color("#FFFFFF")))).DataSource(ViewBag.data).Add();
})
.Title("Olympics Medal Tally").Load("load")
.Tooltip(tooltip => tooltip.Enable(true)).Render()
public ActionResult Index()
{
List<ColumnData> chartData = 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},
};
ViewBag.dataSource = chartData;
return View();
}
public class ColumnData
{
public string Year;
public double USA_Total;
public double USA_Gold;
public double UK_Total;
public double UK_Gold;
public double China_Total;
public double China_Gold;
}
Cylindrical column chart
To render a cylindrical column chart, set the ColumnFacet
property to Cylinder in the chart series. This property transforms the regular columns into cylindrical shapes, enhancing the visual representation of the data.
@(Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("country").
YName("gold").
ColumnFacet(Syncfusion.EJ2.Charts.ShapeType.Cylinder).
DataSource(ViewBag.dataSource).
TooltipMappingName("tooltipMappingName").
Add();
})
.PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
)
.PrimaryYAxis(py =>
py.Title("Medal Count")
.Interval(10).Minimum(0).Maximum(80)
)
.Title("Olympic Gold Medal Counts - RIO")
.Tooltip(tt => tt.Enable(true).Header("<b>${point.tooltip}</b>").Format("Gold Medal: <b>${point.y}</b>")).Render())
public ActionResult Index()
{
List<CylindricalChartData> chartData = new List<CylindricalChartData>
{
new CylindricalChartData { country= "USA", gold= 50, tooltipMappingName= "USA" },
new CylindricalChartData { country= "Japan", gold= 70, tooltipMappingName= "Japan" },
new CylindricalChartData { country= "Australia", gold= 60, tooltipMappingName= "Australia" },
new CylindricalChartData { country= "France", gold= 50, tooltipMappingName= "France" },
new CylindricalChartData { country= "Italy", gold= 40, tooltipMappingName= "Italy" },
new CylindricalChartData { country= "Sweden", gold= 55, tooltipMappingName= "Sweden" }
};
ViewBag.dataSource = chartData;
return View();
}
public class CylindricalChartData
{
public string country;
public double gold;
public string tooltipMappingName;
}
Empty points
Data points with null or undefined values are considered empty. Empty data points are ignored and not plotted on the chart.
Mode
Use the Mode
property to define how empty or missing data points are handled in the series. The default mode for empty points is Gap.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("month").
YName("sales").
DataSource(ViewBag.dataSource).
Name("Gold").EmptyPointSettings(ViewBag.emptyPoint).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { month = "Jan", sales = 35 },
new AxisLabelData { month = "Feb", sales = 28 },
new AxisLabelData { month = "Mar", sales = 34 },
new AxisLabelData { month = "Apr", sales = null },
new AxisLabelData { month = "May", sales = 40 },
new AxisLabelData { month = "Jun", sales = 32 },
new AxisLabelData { month = "Jul", sales = 35 },
new AxisLabelData { month = "Aug" },
new AxisLabelData { month = "Sep", sales = 38 },
new AxisLabelData { month = "Oct", sales = 30 },
new AxisLabelData { month = "Nov", sales = 25 },
new AxisLabelData { month = "Dec", sales = 32 },
};
ViewBag.dataSource = chartData;
ChartEmptyPointSettings chartEmptyPointSettings = new ChartEmptyPointSettings();
chartEmptyPointSettings.Mode = EmptyPointMode.Zero;
ViewBag.emptyPoint = chartEmptyPointSettings;
return View();
}
public class AxisLabelData
{
public string month;
public double? sales;
}
Fill
Use the Fill
property to customize the fill color of empty points in the series.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("month").
YName("sales").
DataSource(ViewBag.dataSource).
Name("Gold").EmptyPointSettings(ViewBag.emptyPoint).
Marker(ViewBag.marker).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { month = "Jan", sales = 35 },
new AxisLabelData { month = "Feb", sales = 28 },
new AxisLabelData { month = "Mar", sales = 34 },
new AxisLabelData { month = "Apr", sales = null },
new AxisLabelData { month = "May", sales = 40 },
new AxisLabelData { month = "Jun", sales = 32 },
new AxisLabelData { month = "Jul", sales = 35 },
new AxisLabelData { month = "Aug" },
new AxisLabelData { month = "Sep", sales = 38 },
new AxisLabelData { month = "Oct", sales = 30 },
new AxisLabelData { month = "Nov", sales = 25 },
new AxisLabelData { month = "Dec", sales = 32 },
};
ViewBag.dataSource = chartData;
ChartEmptyPointSettings chartEmptyPointSettings = new ChartEmptyPointSettings();
chartEmptyPointSettings.Mode = EmptyPointMode.Zero;
chartEmptyPointSettings.Fill = "red";
ViewBag.emptyPoint = chartEmptyPointSettings;
ChartMarkerSettings marker = new ChartMarkerSettings();
marker.Visible = true;
marker.Width = 7;
marker.Height = 7;
marker.IsFilled = true;
ViewBag.marker = marker;
return View();
}
public class AxisLabelData
{
public string month;
public double? sales;
}
Border
Use the Border
property to customize the width and color of the border for empty points.
@Html.EJS().Chart("container").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("month").
YName("sales").
DataSource(ViewBag.dataSource).
Name("Gold").EmptyPointSettings(ViewBag.emptyPoint).
Marker(ViewBag.marker).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { month = "Jan", sales = 35 },
new AxisLabelData { month = "Feb", sales = 28 },
new AxisLabelData { month = "Mar", sales = 34 },
new AxisLabelData { month = "Apr", sales = null },
new AxisLabelData { month = "May", sales = 40 },
new AxisLabelData { month = "Jun", sales = 32 },
new AxisLabelData { month = "Jul", sales = 35 },
new AxisLabelData { month = "Aug" },
new AxisLabelData { month = "Sep", sales = 38 },
new AxisLabelData { month = "Oct", sales = 30 },
new AxisLabelData { month = "Nov", sales = 25 },
new AxisLabelData { month = "Dec", sales = 32 },
};
ViewBag.dataSource = chartData;
ChartEmptyPointSettings chartEmptyPointSettings = new ChartEmptyPointSettings();
chartEmptyPointSettings.Mode = EmptyPointMode.Zero;
chartEmptyPointSettings.Fill = "red";
chartEmptyPointSettings.Border.Width = 2;
chartEmptyPointSettings.Border.Color = "green";
ViewBag.emptyPoint = chartEmptyPointSettings;
ChartMarkerSettings marker = new ChartMarkerSettings();
marker.Visible = true;
marker.Width = 7;
marker.Height = 7;
marker.IsFilled = true;
ViewBag.marker = marker;
return View();
}
public class AxisLabelData
{
public string month;
public double? sales;
}
Events
Series render
The SeriesRender
event allows you to customize series properties, such as data, fill, and name, before they are rendered on the chart.
@Html.EJS().Chart("container").SeriesRender("changeColor").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("month").
YName("sales").
DataSource(ViewBag.dataSource).
Name("Gold").Width(2).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
<script>
function changeColor(args) {
args.fill = '#ff6347';
}
</script>
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { month = "Jan", sales = 35 },
new AxisLabelData { month = "Feb", sales = 28 },
new AxisLabelData { month = "Mar", sales = 34 },
new AxisLabelData { month = "Apr", sales = 30 },
new AxisLabelData { month = "May", sales = 40 },
new AxisLabelData { month = "Jun", sales = 32 },
new AxisLabelData { month = "Jul", sales = 35 },
new AxisLabelData { month = "Aug", sales = 43 },
new AxisLabelData { month = "Sep", sales = 38 },
new AxisLabelData { month = "Oct", sales = 30 },
new AxisLabelData { month = "Nov", sales = 25 },
new AxisLabelData { month = "Dec", sales = 32 },
};
ViewBag.dataSource = chartData;
return View();
}
public class AxisLabelData
{
public string month;
public double? sales;
}
Point render
The PointRender
event allows you to customize each data point before it is rendered on the chart.
@Html.EJS().Chart("container").PointRender("changeColor").Series(series =>
{
series.Type(Syncfusion.EJ2.Charts.ChartSeriesType.Column).
XName("month").
YName("sales").
DataSource(ViewBag.dataSource).
Name("Gold").Width(2).
Marker(ViewBag.marker).
Add();
}).PrimaryXAxis(px =>
px.Interval(1)
.ValueType(Syncfusion.EJ2.Charts.ValueType.Category)
.IsIndexed(true)
).Title("Olympic Medal Counts - RIO").Render()
<script>
function changeColor(args) {
if (args.point.index % 2 !== 0) {
args.fill = '#ff6347';
}
else {
args.fill = '#009cb8';
}
}
</script>
public ActionResult Index()
{
List<AxisLabelData> chartData = new List<AxisLabelData>
{
new AxisLabelData { month = "Jan", sales = 35 },
new AxisLabelData { month = "Feb", sales = 28 },
new AxisLabelData { month = "Mar", sales = 34 },
new AxisLabelData { month = "Apr", sales = 30 },
new AxisLabelData { month = "May", sales = 40 },
new AxisLabelData { month = "Jun", sales = 32 },
new AxisLabelData { month = "Jul", sales = 35 },
new AxisLabelData { month = "Aug", sales = 43 },
new AxisLabelData { month = "Sep", sales = 38 },
new AxisLabelData { month = "Oct", sales = 30 },
new AxisLabelData { month = "Nov", sales = 25 },
new AxisLabelData { month = "Dec", sales = 32 },
};
ViewBag.dataSource = chartData;
ChartMarkerSettings chartMarkerSettings = new ChartMarkerSettings();
chartMarkerSettings.Visible = true;
chartMarkerSettings.IsFilled = true;
chartMarkerSettings.Height = 7;
chartMarkerSettings.Width = 7;
ViewBag.marker = chartMarkerSettings;
return View();
}
public class AxisLabelData
{
public string month;
public double? sales;
}