numpy.rint() in Python
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
# Python program explaining# rint() functionimport 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
# Python program explaining# rint() functionimport 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.]
References : https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.rint.html#numpy.rint
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