create a violin plot with matplotlib

violinPlot.py

import matplotlib.pyplot as plt
# kwc 201208

# Create synthetic data for each plot
np.random.seed(10)
synData_1 = np.random.normal(100, 10, 200)
synData_2 = np.random.normal(80, 30, 200)
synData_3 = np.random.normal(90, 20, 200)
synData_4 = np.random.normal(70, 25, 200)

all_data = [synData_1, synData_2, synData_3, synData_4]


# Plot it
fig = plt.figure(figsize=(10,8))
vp = plt.violinplot(all_data,showmeans=True, 
                    showmedians=False, showextrema=True)

# if using ax methods
#ax = fig.add_axes([0,0,1,1])
# vp = ax.violinplot(all_data)

# to edit the color
for pc in vp['bodies']:
    pc.set_facecolor('red')
    pc.set_edgecolor('black')
    pc.set_linewidth(1)
    pc.set_alpha(0.2)
    
# color the violin statistics marks:
for partname in ('cbars','cmins','cmaxes','cmeans'): # if medians,'cmedians'
    vp_ = vp[partname]
    vp_.set_edgecolor('k')
    vp_.set_linewidth(1)


plt.title('Violin Plot example', size=20)
plt.xlabel("y label", size=14)
plt.ylabel("x label", size=14)
plt.xticks(size=14)
plt.yticks(size=14)

plt.show()