numpy matrix operations | zeros() function (original) (raw)

Last Updated : 21 Feb, 2019

numpy.matlib.zeros() is another function for doing matrix operations in numpy. It returns a matrix of 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 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 zeros of given shape, dtype, and order.

Code #1 :

Python3 `

Python program explaining

numpy.matlib.zeros() function

importing 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 :

Python3 `

Python program explaining

numpy.matlib.zeros() function

importing numpy and matrix library

import numpy as geek import numpy.matlib

desired 1 x 5 zero output matrix

out_mat = geek.matlib.zeros(shape = 5, dtype = int) print ("Output matrix : ", out_mat)

`

Output :

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