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numpy matrix operations | ones() function

Last Updated : 21 Feb, 2019
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numpy.matlib.ones() is another function for doing matrix operations in numpy. It returns a matrix of given shape and type, filled with ones.

Syntax : numpy.matlib.ones(shape, dtype=None, order=’C’)

Parameters :
shape : [int, int] Number of rows and columns in the output matrix.If shape has length one i.e. (N, ), or is a scalar N, out becomes a single row matrix of shape (1, N).
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 : Matrix of ones of given shape, dtype, and order.

Code #1 :




# Python program explaining
# numpy.matlib.ones() function
  
# importing matrix library from numpy
import numpy as geek
import numpy.matlib
  
# desired 3 x 4 output matrix 
out_mat = geek.matlib.ones((3, 4)) 
print ("Output matrix : ", out_mat) 


Output :

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

 

Code #2 :




# Python program explaining
# numpy.matlib.ones() function
  
# importing numpy and matrix library
import numpy as geek
import numpy.matlib
  
# desired 1 x 5 output matrix 
out_mat = geek.matlib.ones(shape = 5, dtype = int
print ("Output matrix : ", out_mat) 


Output :

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

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