NumPy zeros() function

The function numpy.matlib.zeros() is used to return the matrix of given shape and type. This method filled the matrix with zeros.

The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects.

Syntax of matlib.zeros():

The required syntax to use this function is as follows:

numpy.matlib.zeros(shape,dtype,order)

Parameters:

Let us now cover the parameters used with this function:

  • shape
    This parameter is in the form of a tuple that is used to define the shape of the matrix.
  • dtype
    This parameter is used to indicate the data type of the matrix. The default value of this parameter is float. This is an optional parameter.
  • order
    This is an optional parameter that is used to indicate the insertion order of the matrix. It mainly indicates whether to store the result in C- or Fortran-contiguous order, The default value is ‘C’.

Returned Values:

This function mainly returns the zero matrix of a given shape, dtype, and order.

Now it’s time to cover a few examples of this function.

Example 1:

Given below is a basic example for the understanding of this function:

import numpy as np    
import numpy.matlib    
    
print("The matrix is:\n",numpy.matlib.zeros((4,3)))

Output:


The matrix is:
[[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]]

Example 2:

Now we will also use type and order parameter in the code snippet given below:

import numpy as np    
import numpy.matlib    
    
print("The 3x4 matrix with all elements in integer is as follows:\n",numpy.matlib.zeros((3,4), int, 'C'))

Output:


The 3x4 matrix with all elements in integer is as follows:
[[0 0 0 0]
[0 0 0 0]
[0 0 0 0]]

Example 3:

It is important to note that If the shape has length one i.e. (N,), or is a scalar N, then in the output, there will be a single row matrix of shape (1,N). The code snippet for the understanding of this statement is as follows:

import numpy as np

np.matlib.zeros(4)

Output:


matrix([[0., 0., 0., 0.]])
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