NumPy Empty Function

Introduction

In this lab, we will learn about the numpy.matlib.empty() function of the NumPy library. This function is used to return a new matrix with uninitialized entries. It is mainly used to configure matrices instead of ndarray objects.

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Import NumPy and NumPy Matlib Libraries

Firstly, we will import the NumPy and NumPy Matlib libraries using the import keyword.

import numpy as np
import numpy.matlib

Use empty() function

The numpy.matlib.empty() function is used with following parameters,

• shape for defining the size of the matrix
• dtype(optional) for data type of the matrix
• order(optional) for insertion order of matrix

np.matlib.empty((4,4))

Above code will generate the output as follows:

array([[ 0.00000000e+000,  0.00000000e+000,  0.00000000e+000, 0.00000000e+000],
       [ 0.00000000e+000,  0.00000000e+000,  0.00000000e+000, 0.00000000e+000],
       [ 8.61381863e+043, -1.94898979e-046,  9.88131292e-324, 0.00000000e+000],
       [ 1.13635099e-322,  0.00000000e+000,  0.00000000e+000, 0.00000000e+000]])

Additional Parameters for Data Type and Order

We can also use additional parameters while implementing the empty() function. dtype parameter for data type of the matrix and order parameter for its insertion order.

np.matlib.empty((2,3), int)

Above code will generate the output as follows:

array([[-1192611712,         306,           0],
       [           0,      131074,           0]])

np.matlib.empty((4), int, 'C')

Above code will generate the output as follows:

array([         0,          0,      65793,          1])

Summary

In this lab, we have learned about the numpy.matlib.empty() function used to return a new matrix having uninitialized entries. We also covered the syntax, parameters, and value returned by this function along with some code examples.

Summary

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