How to round array elements to the given number of decimals using NumPy?
Last Updated :
05 Sep, 2020
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
rounded_array = np. round ([ 1.5 , 1.53 , 1.23 , 3.89 ])
print (rounded_array)
|
Output
[2. 2. 1. 4.]
Example 2:
Python3
import numpy as np
rounded_array = np. round ([ 1.5 , 1.53 , 1.23 , 3.89 ],
decimals = 1 )
print (rounded_array)
|
Output:
[1.5 1.5 1.2 3.9]
Example
Python3
import numpy as np
rounded_array = np. round (
[ 1.534 , 1.5389 , 1.2301 , 3.89903 , 6.987 , 4.09 ], decimals = 2 )
print (rounded_array)
|
Output:
[1.53 1.54 1.23 3.9 6.99 4.09]
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