Axes Configuration
The Sparkline is a categorical (discrete) chart and has an implicit category and a value axis.
The axis orientation (horizontal or vertical) is inferred from the series type.
Setting the Category Axis
While category names are not visible by default, they are displayed in tooltips.
The following example demonstrates how to use the CategoryAxis
object to set the category names.
@(Html.Kendo().Sparkline()
.Name("World")
.Data(new double[] { 15.7, 16.7, 20, 23.5, 26.6 })
.CategoryAxis(c => c
.Categories(new string[] { "2005", "2006", "2007", "2008", "2009" })
)
)
You can also bind the category name to a field of the data item.
@(Html.Kendo().Sparkline()
.Name("Sparkline")
.Series(s => s.Bar(new object[] { new {
country = "United States",
year = "2005",
value = 67.96
}, new {
country = "United States",
year = "2006",
value = 68.93
}
}).Field("value"))
.CategoryAxis(c => c.Field("year"))
)
Displaying Dates
The category axis provides built-in support for displaying dates. This includes:
- Automatic selection of granularity/base unit (minutes, hours, days, and so on)
- Label formatting matched to the granularity
- Grouping of categories into base units and series aggregates
Specifying categories of type Date
switches the axis to a date mode. The automatic mode selection can be overridden by specifying .Type(ChartCategoryAxisType.Date)
.
Setting Base Units
To set the base units in the Sparkline chart, use any of the following approaches:
Default Configuration
To determine a default base, use the smallest duration between categories.
.CategoryAxis(c => c
.Categories(new DateTime[] { new DateTime(2005, 1, 1), new DateTime(2006, 1, 1) })
// baseUnit is set to "years".
)
.CategoryAxis(c => c
.Categories(new DateTime[] { new DateTime(2005, 1, 1), new DateTime(2005, 1, 2) })
// baseUnit is set to "days".
)
Manual Configuration
You can also manually specify the BaseUnit
.
The following options are valid:
- Seconds
- Minutes
- Hours
- Days
- Weeks
- Months
- Years
- Fit
Series Aggregates
If two or more categories fall within a base unit, its values are aggregated to display a single point.
@(Html.Kendo().Sparkline()
.Name("Sparkline")
.Series(s => s.Column(new int[] { 20, 40, 45, 30, 50 }))
.CategoryAxis(c => c
.Categories(new DateTime[] {
new DateTime(2011,12,30),
new DateTime(2011,12,31),
new DateTime(2012,01,01),
new DateTime(2012,01,02),
new DateTime(2012,01,03)
})
)
)
The code from the previous example results in the following Sparkline chart. Note that values are displayed as are.
The following example demonstrates the Sparkline with its base unit changed to "years"
.
.CategoryAxis(c => c
.BaseUnit(ChartAxisBaseUnit.Years)
.Categories(new DateTime[] {
new DateTime(2011,12,30),
new DateTime(2011,12,31),
new DateTime(2012,01,01),
new DateTime(2012,01,02),
new DateTime(2012,01,03)
})
)
The following example demonstrates a Sparkline with a grouped date category axis. Note the way the Sparkline displays the maximum value for each year.
You can also change the aggregate function for each series.
.Series(s => s
.Column(new int[] { 20, 40, 45, 30, 50 })
.Aggregate(ChartSeriesAggregate.Avg))
The available options are:
Min
Max
Count
Sum
Avg
First
SumOrNull
Setting the Value Axis
Currently, the Sparkline supports only numeric value axes.
Getting Started
To access the configuration options, use ValueAxis
. The following example configures a numeric axis with a minimum value of 0
and a maximum value of 100
.
@(Html.Kendo().Sparkline()
.Name("Sparkline")
.Series(s => s
.Column(new double[] { 15.7, 16.7, 20, 23.5, 26.6 }))
.ValueAxis(axis => axis.Numeric().Min(0).Max(100))
.CategoryAxis(c => c
.Categories(new string[] { "2005", "2006", "2007", "2008", "2009" })
)
)
Setting the Plot Bands
You can configure each axis to display bands with different colors for predefined value ranges. The category index (zero based) is used as a value for the category axis.
@(Html.Kendo().Sparkline()
.Name("temp-range")
.Type(SparklineType.Bullet)
.ValueAxis(axis => axis
.Numeric()
.Min(0)
.Max(30)
.PlotBands(bands =>
{
bands.Add().From(0).To(15).Color("#787878").Opacity(0.15);
bands.Add().From(15).To(22).Color("#787878").Opacity(0.3);
bands.Add().From(22).To(30).Color("#787878").Opacity(0.15);
})
)
.Data(ViewBag.TemperatureRange)
)