< xkcd_density | back to Gallery | kde >
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from bokeh import mpl
from bokeh.plotting import show
# We generated random data
data = 1 + np.random.randn(20, 6)
# And then just call the violinplot from Seaborn
sns.violinplot(data, color="Set3")
plt.title("Seaborn violin plot in bokeh.")
show(mpl.to_bokeh(name="violin"))