I have 2 matrix with , M and M' , The M' matrix is the result of calculation "order preserving" of the matrix M so i will explain more by examples , so here is the matrix M :
M= np.array([ [15,4,-1,9,10,7], [-4,2,29,11,98,5], [101,24,3,19,77,53], [0,88,34,62,13,-9], [52,93,44,46,24,125], [0,17,26,8,87,0], [103,19,52,173,66,24], [26,78,123,-5,13,41] ]) so lets take the row L1 from the matrix M so the smallest integer is - 1 so we take the position of -1 from the matrix M which is in the column C3 and write 1 in L1 of the matrix M', and here we go for the other numbers we compare them and take the right order , in case of similarity we give them the same order , this part is looking fine i write a program who take a matrix and calculate the order preserving of it and show the results in the second matrix , here is my code : https://pastebin.com/jpaZfVsB so the second step is , We will take the columns similar to X% from the matrix M' In this case there are two conditions : X% = 100% similar The number of minimum similar columns : 𝑁𝑏𝑟𝑒 𝑐𝑜𝑙 𝑚𝑖𝑛=2 so from the matrix M' we will compare row by row : L1 to L2 , L2 to L 3 until we find similar rows and here is the results : Seed1= {L1 l2 c2 c4 c6} Seed2= {L1 l3 c1 c3 c5} Seed3={L3 l6 c2 c4 c5} Seed4={L4l6 c3 c6} Seed5= {L7 l8 c3 c5 c6} In order to build a bi-group , We must combine the seeds with each other: we will unite the rows of the seed and the intersection of the columns of the seed By respecting: 𝑁𝑏𝑟𝑒 𝑐𝑜𝑙 𝑚𝑖𝑛 = 2 the final results : Bi-groupe 1={L1 l2 l3 l6 c2 c4} Bi-groupe2={L1 l3 l7 l8 c3 c5} Bi-groupe 3={L4 l6 l7 l8 c3 c6} i just want a function or away to figured out the seeds by rows comparison and show the bi-groupe results Many Thanks -- https://mail.python.org/mailman/listinfo/python-list