Violinplots with observations#
seaborn components used: set_theme()
, violinplot()
import numpy as np
import seaborn as sns
sns.set_theme()
# Create a random dataset across several variables
rs = np.random.default_rng(0)
n, p = 40, 8
d = rs.normal(0, 2, (n, p))
d += np.log(np.arange(1, p + 1)) * -5 + 10
# Show each distribution with both violins and points
sns.violinplot(data=d, palette="light:g", inner="points", orient="h")