violin

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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"))
          

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