Grouped ErrorBars

val dataset = dataFrameOf(
    "time" to (1..5).toList() + (1..5).toList(),
    "min" to listOf(2.0, 3.4, 3.5, 5.5, 2.5) + listOf(1.0, 2.0, 3.0, 4.0, 3.7),
    "max" to listOf(3.0, 5.2, 5.0, 5.8, 3.4) + listOf(5.0, 4.0, 3.5, 5.0, 4.2),
    "category" to List(5) { "a" } + List(5) { "b" }
)

dataset.groupBy("category").plot {
    errorBars {
        x("time") {
            axis.breaks((1..5).toList(), format = "d")
        }
        yMin("min")
        yMax("max")
        borderLine.color("category")
    }
}

val dataset = mapOf(
    "time" to (1..5).toList() + (1..5).toList(),
    "min" to listOf(2.0, 3.4, 3.5, 5.5, 2.5) + listOf(1.0, 2.0, 3.0, 4.0, 3.7),
    "max" to listOf(3.0, 5.2, 5.0, 5.8, 3.4) + listOf(5.0, 4.0, 3.5, 5.0, 4.2),
    "category" to List(5) { "a" } + List(5) { "b" }
)

dataset.plot {
    groupBy("category") {
        errorBars {
            x("time") {
                axis.breaks((1..5).toList(), format = "d")
            }
            yMin("min")
            yMax("max")
            borderLine.color("category")
        }
    }
}

val dataset = dataFrameOf(
    "time" to (1..5).toList().let { (it + it).toColumn() },
    "min" to (listOf(2.0, 3.4, 3.5, 5.5, 2.5) + listOf(1.0, 2.0, 3.0, 4.0, 3.7)).toColumn(),
    "max" to (listOf(3.0, 5.2, 5.0, 5.8, 3.4) + listOf(5.0, 4.0, 3.5, 5.0, 4.2)).toColumn(),
    "category" to (List(5) { "a" } + List(5) { "b" }).toColumn()
)

dataset.groupBy { category }.plot {
    errorBars {
        x(time) { axis.breaks((1..5).toList(), format = "d") }
        yMin(min)
        yMax(max)
        borderLine.color(category)
    }
}

Last modified: 15 December 2025