numpy.matlib.zeros() function | Python

numpy.matlib.zeros() function | Python

Last Updated : 22 Apr, 2020

numpy.matlib.zeros() function return matrix of given shape and type, filled with zeros.

Syntax : numpy.matlib.zeros(shape, dtype = None, order = 'C') Parameters : shape : [sequence of ints] Shape of the empty matrix. dtype : [data-type, optional] The desired data-type for the matrix, default is float. order : [{‘C’, ‘F’}, optional] Whether to store the result in C- or Fortran-contiguous order, default is ‘C’. Return : [matrix] Zero matrix of given shape, dtype, and order.

Code #1 :

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

# importing numpy as geek 
# and importing matlib module  
import numpy as geek
import numpy.matlib

gfg = geek.matlib.zeros((3, 3))

print (gfg)

 
# Python program explaining
# numpy.matlib.zeros() function​# importing numpy as geek # and importing matlib module  import numpy as geekimport numpy.matlib​gfg = geek.matlib.zeros((3, 3))​print (gfg)

Output :

[[ 0.  0.  0.]
 [ 0.  0.  0.]
 [ 0.  0.  0.]]

Code #2 :

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

# importing numpy as geek 
# and importing matlib module  
import numpy as geek
import numpy.matlib

gfg = geek.matlib.zeros(4)

print (gfg)

 
# Python program explaining
# numpy.matlib.zeros() function​# importing numpy as geek # and importing matlib module  import numpy as geekimport numpy.matlib​gfg = geek.matlib.zeros(4)​print (gfg)

Output :

[[ 0.  0.  0.  0.]]

numpy.matlib.zeros() function | Python

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