whisker

from bokeh.models import ColumnDataSource, Whisker
from bokeh.plotting import figure, show
from bokeh.sampledata.autompg2 import autompg2 as df
from bokeh.transform import factor_cmap, jitter

classes = list(sorted(df["class"].unique()))

p = figure(height=400, x_range=classes, background_fill_color="#efefef",
           title="Car class vs HWY mpg with quintile ranges")
p.xgrid.grid_line_color = None

g = df.groupby("class")
upper = g.hwy.quantile(0.80)
lower = g.hwy.quantile(0.20)
source = ColumnDataSource(data=dict(base=classes, upper=upper, lower=lower))

error = Whisker(base="base", upper="upper", lower="lower", source=source,
                level="annotation", line_width=2)
error.upper_head.size=20
error.lower_head.size=20
p.add_layout(error)

p.circle(jitter("class", 0.3, range=p.x_range), "hwy", source=df,
         alpha=0.5, size=13, line_color="white",
         color=factor_cmap("class", "Light6", classes))

show(p)