gt_plt_dot

gt_plt_dot(gt, category_col, data_col, domain=None, palette=None)

Create dot plots with thin horizontal bars in GT cells.

The gt_plt_dot() function takes an existing GT object and adds dot plots with horizontal bar charts to a specified category column. Each cell displays a colored dot with the category label and a horizontal bar representing the corresponding numeric value from the data column.

Parameters

gt : GT

A GT object to modify.

category_col : SelectExpr

The column containing category labels that will be displayed next to colored dots.

data_col : SelectExpr

The column containing numeric values that will determine the length of the horizontal bars.

domain : list[int] | list[float] | None = None

The domain of values to use for the color scheme. This can be a list of floats or integers. If None, the domain is automatically set to [0, max(data_col)].

palette : list[str] | str | None = None

The color palette to use. This should be a list of colors (e.g., ["#FF0000", "#00FF00", "#0000FF"]). A ColorBrewer palette could also be used, just supply the name (see GT.data_color() for additional reference). If None, then a default palette will be used.

Returns

: GT

A GT object with dot plots and horizontal bars added to the specified category column.

Examples

from great_tables import GT, style, loc
from great_tables.data import gtcars
import gt_extras as gte

gtcars_mini = gtcars.loc[8:20, ["model", "mfr", "hp", "trq", "mpg_c"]]

gt = (
    GT(gtcars_mini, rowname_col="model")
    .tab_stubhead(label="Car")
)

gte.gt_plt_dot(gt, category_col="mfr", data_col="hp")

Car	mfr	hp	trq	mpg_c
F12Berlinetta	Ferrari	731.0	509.0	11.0
LaFerrari	Ferrari	949.0	664.0	12.0
NSX	Acura	573.0	476.0	21.0
GT-R	Nissan	545.0	436.0	16.0
Aventador	Lamborghini	700.0	507.0	11.0
Huracan	Lamborghini	610.0	413.0	16.0
Gallardo	Lamborghini	550.0	398.0	12.0
Continental GT	Bentley	500.0	487.0	15.0
Granturismo	Maserati	454.0	384.0	13.0
Quattroporte	Maserati	404.0	406.0	16.0
Ghibli	Maserati	345.0	369.0	17.0
6-Series	BMW	315.0	330.0	20.0
i8	BMW	357.0	420.0	28.0