Kullback-Lieber散度用于测量两个概率函数之间的重叠

我试图确定KL散度,以测量两个密度函数(2dhistogram)之间的重叠。

下面是我目前拥有的代码。但是输出是一个数字列表,而不是一个值?

import matplotlib.pyplot as plt
import random
import scipy.stats

A_x = [random.randrange(1,100,1) for _ in range (10000)]
A_y = [random.randrange(1,100,1) for _ in range (10000)]

B_x = [random.randrange(1,100,1) for _ in range (100000)]
B_y = [random.randrange(1,100,1) for _ in range (100000)]

fig, ax = plt.subplots()
ax.grid(False)

a,x,y,p = plt.hist2d(A_x,A_y, bins = 100)
b,x,y,p = plt.hist2d(B_x,B_y, bins = 100)      

div = scipy.stats.entropy(a, qk= b, base=None)