NumPy: Round array elements to the given number of decimals
Write a NumPy program to round array elements to the given number of decimals.
Sample Solution:-
Python Code:
# Importing the NumPy library
import numpy as np
# Rounding the numbers to the nearest integer
x = np.round([1.45, 1.50, 1.55])
print(x)
# Rounding the numbers to one decimal place
x = np.round([0.28, .50, .64], decimals=1)
print(x)
# Rounding the numbers to the nearest even value
x = np.round([.5, 1.5, 2.5, 3.5, 4.5])
print(x)
Sample Output:
[ 1. 2. 2.] [ 0.3 0.5 0.6] [ 0. 2. 2. 4. 4.]
Explanation:
x = np.round([1.45, 1.50, 1.55]) – This code rounds the values in the list [1.45, 1.50, 1.55] to the nearest integer using the np.round function. The output would be [1., 2., 2.].
x = np.round([0.28, .50, .64], decimals=1) – This code rounds the values in the list [0.28, 0.50, 0.64] to one decimal place using the np.round function with the decimals argument set to 1. The output would be [0.3, 0.5, 0.6].
x = np.round([.5, 1.5, 2.5, 3.5, 4.5]) – This code rounds the values in the list [0.5, 1.5, 2.5, 3.5, 4.5] to the nearest even integer using the np.round function. This is called "round to nearest, ties to even". The output would be [0., 2., 2., 4., 4.].
Pictorial Presentation:
Python-Numpy Code Editor: