In NumPy, we can round array elements to the given number of decimals with the help of round().
Syntax:
np.round(a, decimals=0, out=None)
The first parameter will be an array and the second parameter will be the number of decimals for which needed rounded. If no parameter will be pass as the second parameter then by default it takes 0. It will return round array elements to the given number of decimals.
Example 1:
Python3
import numpy as np # perform the numpy.round rounded_array = np.round([1.5, 1.53, 1.23, 3.89]) # print the rounded_array print(rounded_array) |
Output
[2. 2. 1. 4.]
Example 2:
Python3
import numpy as np # perform the numpy.round rounded_array = np.round([1.5, 1.53, 1.23, 3.89], decimals=1) # print the rounded_array print(rounded_array) |
Output:
[1.5 1.5 1.2 3.9]
Example
Python3
import numpy as np # perform the numpy.round rounded_array = np.round( [1.534, 1.5389, 1.2301, 3.89903, 6.987, 4.09], decimals=2) # print the rounded_array print(rounded_array) |
Output:
[1.53 1.54 1.23 3.9 6.99 4.09]