matplotlib.dist_table

dist_table=np.array([[(((data[i]-data[j])**2).sum())**0.5 for j in range(150)]for i in range(150)])

 

 

array([[0.        , 0.53851648, 0.50990195, ..., 4.45982062, 4.65080638,
        4.14004831],
       [0.53851648, 0.        , 0.3       , ..., 4.49888875, 4.71805044,
        4.15331193],
       [0.50990195, 0.3       , 0.        , ..., 4.66154481, 4.84871117,
        4.29883705],
       ...,
       [4.45982062, 4.49888875, 4.66154481, ..., 0.        , 0.6164414 ,
        0.64031242],
       [4.65080638, 4.71805044, 4.84871117, ..., 0.6164414 , 0.        ,
        0.76811457],
       [4.14004831, 4.15331193, 4.29883705, ..., 0.64031242, 0.76811457,
        0.        ]])

 

 

fig=plt.figure(figsize=[10,10])

plt.imshow(dist_table,cmap='gray')
plt.colorbar()

fig=plt.figure(figsize=[10,10])

plt.imshow(dist_table,cmap='gray_r',vmin=0,vmax=dist_table.max())
plt.colorbar()

plt.plot(dist_table[0])

plt.plot(dist_table)