KDE with ``numpy``, ``scipy`` und ``matplotlib``

kde.py

#coding=utf-8
import sys,re,os
import numpy as np
from scipy import stats 
import matplotlib.pylab as plt

def draw_kde(grade):
    gkde = stats.kde.gaussian_kde(grade)
    ind = np.arange(0.,100.,0.01)
    plt.plot(ind, gkde(ind), label='Gods\' Grade', color="g")
    plt.title('Kernel Density Estimation')
    plt.legend()
    plt.show()

if __name__ == '__main__':
    with open("grade.txt") as grade_list:
        grade = [float(line.split("\t")[1]) for line in grade_list]
    draw_kde(grade)