In [2]:

LetsPlot.getInfo()

Out[2]:

Lets-Plot Kotlin API v.4.5.0. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.4.1.0.

In [3]:

val mpg = DataFrame.readCSV("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg.head(3)

Out[3]:

DataFrame: rowsCount = 3, columnsCount = 12

In [4]:

val mpgData = mpg.toMap()

In [5]:

gggrid(
    listOf(
        letsPlot(mpgData) + geomBar(labels = layerLabels().line("@..count..")) { x = "trans" },
        letsPlot(mpgData) + geomBar(
            stat = Stat.sum(), size = 0,
            labels = layerLabels().line("@..proppct..")
        ) { x = "trans"; y = "..n.." } + coordFlip()
    ), 
    widths = listOf(1, 1.2)
)

Out[5]:

Stacked Bars¶

In [6]:

ggplot(mpgData) { x = "class"; fill = "drv" } +
    geomBar(labels = layerLabels().line("@..proppct..").format("..proppct..", "{d} %")) +
    ggsize(700, 400)

Out[6]:

In [7]:

ggplot(mpgData) { x = "class"; fill = "drv" } +
    geomBar(labels = layerLabels().line("@..proppct..").format("..proppct..", "{d} %"),
            position = positionFill()) +
    coordFlip() +
    ggsize(700, 400)

Out[7]:

Narrow Bars¶

Too thin for labels to fit in.

In [8]:

ggplot(mpgData) { x = "class"; fill = "drv" } +
    geomBar(labels = layerLabels().line("@..proppct..").format("..proppct..", "{d} %"),
            position = positionDodge()) +
    ggsize(700, 400)

Out[8]:

Annotated Barchart¶

Configure Layer Labels Using API Similar to the Tooltip Configuration API¶

Stacked Bars¶

Narrow Bars¶