NumPy empty() function

The numpy.matlib.empty() function is used to return a new matrix having uninitialized entries.

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

Syntax of matlib.empty():

The required syntax to use this function is as follows:



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 a new matrix having initialized entries.

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    


[[ 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]]

Example 2:

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

import numpy as np    
import numpy.matlib    
print(numpy.matlib.empty((2,3), int))  


[[-1192611712 306 0]
[ 0 131074 0]]

Example 3:

In the below code example, we will also specify the third parameter which is order with the empty() function:

import numpy as np    
import numpy.matlib    
print(numpy.matlib.empty((4), int, 'C'))    


[[ 0 0 65793 1]]
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