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numpy.floor() in Python

Last Updated : 08 Apr, 2025

The numpy.floor() function returns the largest integer less than or equal to each element in the input array. It effectively rounds numbers down to the nearest whole number. Let’s understand with an example:

Python

import numpy as np

a = [0.5, 1.5, 2.5, 3, 4.5, 10.1]

res = np.floor(a)
print("Floored:", res)

Output

Floored: [ 0.  1.  2.  3.  4. 10.]

Explanation: np.floor() function reduces every element of the array ‘a’ to its floor value.

Syntax

numpy.floor(x)

Parameters:

x: Input array (array-like)

Return Type: Array with the floor of each element (as floats)

Examples of numpy.floor()

Example 1: With Decimal Values

Python

import numpy as np

a = [0.53, 1.54, 0.71]
print("Input:", a)

res = np.floor(a)
print("Floored:", res)

Output

Input: [0.53, 1.54, 0.71]
Floored: [0. 1. 0.]

Example 2: Precise Decimal Inputs

Python

import numpy as np

a = [0.5538, 1.33354, 0.71445]
print("Input:", a)

res = np.floor(a)
print("Floored:", res)

Output

Input: [0.5538, 1.33354, 0.71445]
Floored: [0. 1. 0.]

Example 3: Mixed Whole and Decimal Numbers

Python

import numpy as np

a = [1.67, 4.5, 7, 9, 12]
print("Input:", a)

res = np.floor(a)
print("Floored:", res)

Output

Input: [1.67, 4.5, 7, 9, 12]
Floored: [ 1.  4.  7.  9. 12.]

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