# 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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