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:

``numpy.matlib.empty(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 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

print(numpy.matlib.empty((4,4)))    ``````

Output:

`[[ 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))  ``````

Output:

`[[-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'))    ``````

Output:

`[[ 0 0 65793 1]]`