为包含代理程序距离度量的数据帧行绘制热图

Question

I have a data frame of 3000 rows x 101 columns like as follow:

Time   id0  id1  id2     ………… id99
1      1.71 6.99 4.01    ………… 4.98
2      1.72 6.78 3.15    ………… 4.97
.
.
3000   0.36 0.23 0.14    ………… 0.28

In fact the measures in the 100 columns (from id0 to id99) represent distances of agents in a global coordinate frame.

Is it possible to generate a heatmap for a given row in a way that the related (100x100) matrix contains the differences in distance between each pair of agent (id_i - id_j , with i and j /in {0..99}).

Answer 1

Ok, if I got it right now, that's what you'd like to have(?)

A = np.random.randint(0, 10, 10)
M = [A - x for x in A]
fig, ax = plt.subplots()
seaborn.heatmap(M)
plt.show()

#A
array([1, 6, 0, 1, 5, 8, 1, 1, 9, 0])


#M:
[array([ 0,  5, -1,  0,  4,  7,  0,  0,  8, -1]),
 array([-5,  0, -6, -5, -1,  2, -5, -5,  3, -6]),
 array([ 1,  6,  0,  1,  5,  8,  1,  1,  9,  0]),
 array([ 0,  5, -1,  0,  4,  7,  0,  0,  8, -1]),
 array([-4,  1, -5, -4,  0,  3, -4, -4,  4, -5]),
 array([-7, -2, -8, -7, -3,  0, -7, -7,  1, -8]),
 array([ 0,  5, -1,  0,  4,  7,  0,  0,  8, -1]),
 array([ 0,  5, -1,  0,  4,  7,  0,  0,  8, -1]),
 array([-8, -3, -9, -8, -4, -1, -8, -8,  0, -9]),
 array([ 1,  6,  0,  1,  5,  8,  1,  1,  9,  0])]