Although KDE is opposite to the tale of The Little Prince, The mechanism is similar. The KDE makes smooth line along with density. That’s like a covering on a figure inside.
Also I made 3D physics version of covering chart in the previous post(Data-Viz Idea: 3D Membrane chart). If there is an elephant inside, the scene may become 3D version of The Little Prince.
So, Is the part of the book about KDE?
Probably not. But I can modify the original sentences as I prefer:
“My drawing was not a picture of a boa constrictor digesting an elephant. It was a picture of Python’s Kernel density estimation covering an bar chart. But since the literature men were not able to understand it, I made another drawing: I drew the inside of chart, so that the literature men could see it clearly. They always need to have things explained”.
import numpy as np from scipy import stats from matplotlib.pylab import plt # Kernel density estimation: x = np.array([-5,-5,-5,-4,-3,-3,-2,-1,0,1,1,2,2,3]) kde1 = stats.gaussian_kde(x,"scott") x2 = np.linspace(-7,6, 50) fig = plt.figure() ax1 = fig.add_subplot(2,1,1) ax2 = fig.add_subplot(2,1,2) ax1.plot(x2,kde1(x2)*30) ax2.hist(x, bins=np.arange(-7,6)) ax2.plot(x2,kde1(x2)*30)