Facet grid truncated in jupyter

[patonw]

Playing around with the mtcars dataset, un-faceted plots are displayed correctly in jupyter via the kotlin-jupyter kernel:

When trying to facet by cylinder or any integer column, the image is truncated to varying degrees based on my window size. Regardless, part of the data, axes or guide is always missing:

Notebook code for reference:

%use lets-plot, kotlin-statistics

@file:Repository("https://jitpack.io")
@file:DependsOn("de.mpicbg.scicomp:krangl:0.11")

import krangl.*

val df = DataFrame.readCSV("data/mtcars.csv")

fun DataCol.toList() = when (this) {
    is DoubleCol -> asDoubles()
    is IntCol -> asInts()
    is LongCol -> asLongs()
    is StringCol -> asStrings()
    else -> null
}?.toList()

fun DataFrame.toMap() = this.cols
    .map { it.name to it.toList() }
    .filter { it.second != null }
    .toMap()

df["cyl"].asInts().toSet()

val plot = lets_plot(df.toMap()){x = "disp"; y = "hp" }

(
    lets_plot(df.toMap()){x = "disp"; y = "hp" }
        + geom_point() { size="mpg"; color = "cyl"}
        + scale_color_continuous("red", "blue", guide = guide_legend(ncol=1))
        + facet_grid("cyl")
)

(
    ggplot(df.toMap()){x = "disp"}
        + geom_histogram()
        + facet_grid("gear", "cyl")
)

[alshan]

I can suggest using ggsize(w,h) function to adjust the overall plot size like: lets_plot(..) + ggsize(500, 200).

[alshan]

Would be nice to limit the plot size to the available client width.

[alshan]

In v1.3.0 the output should not exceed width of the container element (unless the plot size is overridden by the ggsize() function).
Please checkout v1.3.0.