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Rounding Decimals

Rounding Decimals

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

  • truncation
  • fix
  • rounding
  • floor
  • ceil


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


Truncate elements of following array:

import numpy as np

arr = np.trunc([-3.1666, 3.6667])

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Same example, using fix():

import numpy as np

arr = np.fix([-3.1666, 3.6667])

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

E.g. round off to 1 decimal point, 3.16666 is 3.2


Round off 3.1666 to 2 decimal places:

import numpy as np

arr = np.around(3.1666, 2)

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

E.g. floor of 3.166 is 3.


Floor the elements of following array:

import numpy as np

arr = np.floor([-3.1666, 3.6667])

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Note: The floor() function returns floats, unlike the trunc() function who returns integers.


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

E.g. ceil of 3.166 is 4.


Ceil the elements of following array:

import numpy as np

arr = np.ceil([-3.1666, 3.6667])

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