NumPy Zeros Function

Introduction

In this lab, you will learn about the numpy.matlib.zeros() function of the NumPy library. This function is used to create and return a matrix filled with zeros of a given shape and data type using the numpy.matlib matrix library.

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Skills Graph

Installation and Importing of Required Libraries

Before proceeding, you must install and import the required libraries. Run the following code to install the NumPy library:

!pip install numpy

The following code block will import the required libraries:

import numpy as np
import numpy.matlib

Syntax of The matlib.zeros() Function

The required syntax to use this function is as follows:

numpy.matlib.zeros(shape, dtype=float, order='C')

where,

• shape: input tuple to define the shape of the matrix
• dtype: data type of the matrix, default is float
• order: storing of result in C- or Fortran-contiguous order, default is C

Creating a Basic Matrix

In this example, we will create a matrix with shape (4,3) without providing data type and order.

print("The shape is:\n", numpy.matlib.zeros((4,3)) )

Output:

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

Creating a Matrix with Data Type and Order

In this example, we will create a matrix of shape (3,4) with integer data type and C-contiguous ordering:

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]]

Creating a Single Row Matrix

If shape has a length of one i.e. (N,), or is a scalar N, then there will be a single row matrix of shape (1,N) in the output. The following code creates a matrix with shape (4,):

np.matlib.zeros(4)

Output:

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

Summary

In this lab, you have learned how to use the numpy.matlib.zeros() function to create and return matrices with zeros of a specific shape, data type, and order. You must remember the syntax and parameters used in this function. We also provided multiple examples to understand the usage of the function.