Question

Please help with average entries in an MxM matrix.here is what I did

from pylab import * A genfromtxt ("C:\Users Teacher Documents\\ttree.csv", delimiters print (Matrix A:) for i in range (85): print (A[i].sum()) print('') I-identity (85, 'd') print (I) B=I-A C-inv (B) #a1 = np.linalg.inv (a) #print('Inverse of A:) #print (al) #print(' ') #1 = np.dot (a, al) #print('A*A^{-1} :') print (C[0, :] .sum())

Answer 1

Try using the functions of numpy library

import numpy as np

from pylab import *

A=gnfromtxt("c:\\Users\\Teacher\\Documents\\ttree.csv",delimiter=')

#Make sure the matrix is of same dimension according to your assumtion, if you have any doubt verify it by printing the shape # of A matrix

# print(A.shape)

print('Marix A : ')

for i in range(85):

print(A[i].sum())

print('\n')

I=np.identity(85)

print('Matrix I : ')

print(I)

print('\n')

B=I-A # This operation is possible only if the Dimension of Both the Matrix is same 85x85

C=np.linalg.inv(B)

# Now do whatver you want to do with C matrix

# if you want to compute A*inv(A) then it will be a Identity Matrix