Violin plots are used to visualize the distribution of a continuous variable. They are similar to box plots, but provide more information about the shape and density of the distribution. In a violin plot, a kernel density plot is drawn on each side of a central box. The box represents the interquartile range (IQR) of the data, with the median sh…

ViolinPlots.py

# Import libs
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

# Import Data
df = pd.read_csv("https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv")

# Draw Plot
plt.figure(figsize=(13,10), dpi= 80)
sns.violinplot(x='class', y='hwy', data=df, scale='width', inner='quartile')

# Decoration
plt.title('Violin Plot of Highway Mileage by Vehicle Class', fontsize=22)
plt.show()