numpy matrix operations | eye() function

numpy.matlib.eye() is another function for doing matrix operations in numpy. It returns a matrix with ones on the diagonal and zeros elsewhere.

Syntax : numpy.matlib.eye(n, M=None, k=0, dtype=’float’, order=’C’)

Parameters :
n : [int] Number of rows in the output matrix.
M : [int, optional] Number of columns in the output matrix, defaults is n.
k : [int, optional] Index of the diagonal. 0 refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal.Default is 0.
dtype : [optional] Desired output data-type.
order : Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.



Return : A n x M matrix where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one.

Code #1 :

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# Python program explaining
# numpy.matlib.eye() function
  
# importing matrix library from numpy
import numpy as geek
import numpy.matlib
  
# desired 3 x 3 output matrix 
out_mat = geek.matlib.eye(3, k = 0) 
print ("Output matrix : ", out_mat) 

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Output : 


Output matrix :  
[[ 1.  0.  0.]
 [ 0.  1.  0.]
 [ 0.  0.  1.]]





 


Code #2 : 











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# Python program explaining 


# numpy.matlib.eye() function 


  


# importing numpy and matrix library 


import numpy as geek 


import numpy.matlib 


  


# desired 4 x 5 output matrix  


out_mat = geek.matlib.eye(n = 4, M = 5, k = 1, dtype = int)  


print ("Output matrix : ", out_mat)  



















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Output : 


Output matrix :  
[[0 1 0 0 0]
 [0 0 1 0 0]
 [0 0 0 1 0]
 [0 0 0 0 1]]






          
          
          

          

    

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