لَآ إِلَـٰهَ إِلَّا هُوَ
LA ILAHA ILLA HU
Allah, Your Lord There Is No Deity Except Him.

Python Data Science NumPy ufuncs Rounding Decimals

How Do You Round Off Decimals In NumPy ufuncs?

Rounding Decimals: There are primarily five ways of rounding off decimals in NumPy.

1. truncation

2. fix

3. rounding

4. floor

5. ceil

Truncation: Remove the decimals, and return the float number closest to zero. Use the trunc() and fix() functions.

Example 1: Truncate elements of following array.

Code

import numpy as np

arr = np.trunc([-6.1666, 3.6667])

print(arr)

the output will be

[-6. 3.]

fix: Using the fix() method.

Example 2: Above example using fix().

Code

import numpy as np

arr = np.fix([-6.1666, 3.6667])

print(arr)

the output will be

[-6. 3.]

Rounding

The around() function increments preceding digit or decimal by 1 if >=5 else it does nothing.

E.g. round off to 1 decimal point, 6.16666 is 2

Example 3

Code

import numpy as np

arr = np.around(6.1666, 2)

print(arr)

the output will be

6.17

Floor: The floor() function rounds off decimal to nearest lower integer.

E.g. floor of 6.166 is 6.

Example 4: Floor the elements of following array.

Code

import numpy as np

arr = np.floor([-6.1666, 6.6667])

print(arr)

the output will be

[-7. 6.]

Ceil: The ceil() function rounds off decimal to nearest upper integer.

E.g. ceil of 6.166 is 7.

Example 5: Ceil the elements of following array.

Code

import numpy as np

arr = np.ceil([-6.1666, 6.6667])

print(arr)

the output will be

[-6. 7.]
Note: NumPy ufunc Universal function or ufuncs is a function which operates on ndarrays in an element by element fashion and supports array broadcasting, type casting, and many other standard features.