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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"))