Python NumPy rint() Function

NumPy rint() Function:

The rint() function of the NumPy module is used to round array elements to the nearest integer.

Syntax:

numpy.rint(x, out=None)

Parameters

x: This is required. It is an array (array-like) given as input.

out: This is optional. It is the location where the result will be saved. It must have a shape that the inputs broadcast to if it is provided. If None or not given, a newly allocated array is returned.

Return Value:

If out=None, returns an array containing the rounded values. A reference to out is returned if an output array is given.

NumPy rint() Function in Python

Example1

Here is an example for 1D Arrays

Approach:

Import numpy module using the import keyword.
Pass some random list as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the rint() function of the numpy module to round the given array elements to the nearest integer.
Store it in another variable.
Print the given array elements after rounding to the nearest integer.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([20.3, 5.5, 8.8, 30.076, 12.123])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the rint() function of the 
# numpy module to round the given array elements to the nearest integer.
# Store it in another variable.
rslt = np.rint(gvn_arry)
# Print the given array elements after rounding to the nearest integer.
print("The given array elements after rounding to the nearest integer:")
print(rslt)

Output:

The above given array is:
[20.3 5.5 8.8 30.076 12.123]
The given array elements after rounding to the nearest integer:
[20. 6. 9. 30. 12.]

Example2

Here is an example for 2-Dimensional Arrays

Approach:

Import numpy module using the import keyword.
Pass some random list(2-Dimensional) as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the rint() function of the numpy module to round the given array elements to the nearest integer.
Store it in another variable.
Print the given array elements after rounding to the nearest integer.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list(2D) as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([[-2.3, 6.6],[4.5, -8.9]])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the rint() function of the 
# numpy module to round the given array elements to the nearest integer.
# Store it in another variable.
rslt = np.rint(gvn_arry)
# Print the given array elements after rounding to the nearest integer.
print("The given array elements after rounding to the nearest integer:")
print(rslt)

Output:

The above given array is:
[[-2.3 6.6]
 [ 4.5 -8.9]]
The given array elements after rounding to the nearest integer:
[[-2. 7.]
 [ 4. -9.]]

NumPy rint() Function in Python

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