Last Updated : 08 Mar, 2024
The
numpy.rint()is a mathematical function that rounds elements of the array to the nearest integer.
Syntax : numpy.rint(x[, out]) = ufunc ‘rint’) Parameters : array : [array_like] Input array. Return : An array with all array elements being rounded off, having same type and shape as input.Code #1 : Working Python3
# Python program explaining
# rint() function
import numpy as np
in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1]
print ("Input array : \n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)
in_array = [.53, 1.54, .71]
print ("\nInput array : \n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)
in_array = [.5538, 1.33354, .71445]
print ("\nInput array : \n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)
Output:
Input array : [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values : [ 0. 2. 2. 4. 4. 10.] Input array : [0.53, 1.54, 0.71] Rounded values : [ 1. 2. 1.] Input array : [0.5538, 1.33354, 0.71445] Rounded values : [ 1. 1. 1.]Code #2 : Working Python3
# Python program explaining
# rint() function
import numpy as np
in_array = [1 ,4, 7, 9, 12]
print ("Input array : \n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values : \n", rintoff_values)
in_array = [133 ,344, 437, 449, 12]
print ("\nInput array : \n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values upto 2: \n", rintoff_values)
in_array = [133 ,344, 437, 449, 12]
print ("\nInput array : \n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values upto 3: \n", rintoff_values)
Output:
Input array : [1, 4, 7, 9, 12] Rounded values : [ 1. 4. 7. 9. 12.] Input array : [133, 344, 437, 449, 12] Rounded values upto 2: [ 133. 344. 437. 449. 12.] Input array : [133, 344, 437, 449, 12] Rounded values upto 3: [ 133. 344. 437. 449. 12.]
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