Five years later, when I Google “how to create a kernel density plot using python”, this thread still shows up at the top!
Today, a much easier way to do this is to use seaborn, a package that provides many convenient plotting functions and good style management.
import numpy as np
import seaborn as sns
data = [1.5]*7 + [2.5]*2 + [3.5]*8 + [4.5]*3 + [5.5]*1 + [6.5]*8
sns.set_style('whitegrid')
sns.kdeplot(np.array(data), bw=0.5)
