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matrix operations | function of zeros ()

numpy.matlib.zeros() — this is another function to do matrix operations in numpy. Returns a matrix of the given shape and type, filled with zeros.

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

Parameters:
shape: [int, int] Number of rows and columns in the output matrix.If shape has length one ie (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 zeros of given shape, dtype, and order.

Code # 1:

# Python program explaining
# numpy.matlib.zeros () function

  
# import matrix library from numpy

import numpy as geek

import numpy.matlib

 
# desired 3 x 4 zero output matrix

out_mat = geek.matlib.zeros (( 3 , 4 )) 

print ( "Output matrix:" , out_mat) 

Output:

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

Code # 2:

# Python program explaining
# numpy.matlib.zeros () function

 
# import numpy library and matrix

import numpy as geek

import numpy.matlib

 
# desired 1 x 5 zero output matrix

out_mat = geek.matlib.zeros (shape = 5 , dtype = int

print ( "Ou tput matrix: " , out_mat) 

Output:

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

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