import numpy as np
from scipy.spatial.distance import pdist, squareform
MM = np.array([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15],[16,17,18,19,20],[21,22,23,24,25]])
print(MM)
A = [0,0,0,1,1,1]
B = [2,2,2,3,3,3,4,4,4]
Matrix = np.ones((len(A),len(B)))
for i in range(len(A)):
for j in range(len(B)):
Matrix[i,j] = MM[A[i],B[j]]
print(Matrix)
A = [0,1]
B = [2,3,4]
matrix = np.ones((len(A), len(B)))
for i in range(len(A)):
for j in range(len(B)):
matrix[i,j] = MM[A[i],B[j]]
print(matrix)
matrix = matrix.repeat(3,axis=0).repeat(3,axis=1)
print(matrix)
[[ 1 2 3 4 5]
[ 6 7 8 9 10]
[11 12 13 14 15]
[16 17 18 19 20]
[21 22 23 24 25]]
[[ 3. 3. 3. 4. 4. 4. 5. 5. 5.]
[ 3. 3. 3. 4. 4. 4. 5. 5. 5.]
[ 3. 3. 3. 4. 4. 4. 5. 5. 5.]
[ 8. 8. 8. 9. 9. 9. 10. 10. 10.]
[ 8. 8. 8. 9. 9. 9. 10. 10. 10.]
[ 8. 8. 8. 9. 9. 9. 10. 10. 10.]]
[[ 3. 4. 5.]
[ 8. 9. 10.]]
[[ 3. 3. 3. 4. 4. 4. 5. 5. 5.]
[ 3. 3. 3. 4. 4. 4. 5. 5. 5.]
[ 3. 3. 3. 4. 4. 4. 5. 5. 5.]
[ 8. 8. 8. 9. 9. 9. 10. 10. 10.]
[ 8. 8. 8. 9. 9. 9. 10. 10. 10.]
[ 8. 8. 8. 9. 9. 9. 10. 10. 10.]]
