Introduction:
`numpy.around()` is a function in the numPy library in Python that is used to round the values in an array to a specified number of decimal places. It helps in adjusting the precision of numerical data by rounding off the elements of the array to the nearest specified decimal point. This can be useful for simplifying data presentation, reducing computational complexity, or meeting specific formatting requirements.
SYNTAX
numpy.around(a, decimals=0, out=None)
CODE
import numpy as np
# Example array
arr = np.array([1.234, 2.345, 3.456, 4.567])
# Rounding to 2 decimal places
rounded_arr = np.around(arr, decimals=2)
print(rounded_arr) # Output: [1.23 2.35 3.46 4.57]
# Rounding to the nearest integer
rounded_arr = np.around(arr)
print(rounded_arr) # Output: [1. 2. 3. 5.]
# Rounding to the nearest ten (negative decimals)
arr = np.array([123.45, 678.90, 234.56])
rounded_arr = np.around(arr, decimals=-1)
print(rounded_arr) # Output: [120. 680. 230.]
OUTPUT
