numpy.floor() in Python Last Updated : 08 Apr, 2025 Comments Improve Suggest changes Like Article Like Report 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) OutputFloored: [ 0. 1. 2. 3. 4. 10.] Explanation: np.floor() function reduces every element of the array 'a' to its floor value.Syntaxnumpy.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) OutputInput: [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) OutputInput: [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) OutputInput: [1.67, 4.5, 7, 9, 12] Floored: [ 1. 4. 7. 9. 12.] Comment More info M mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 7 min read Python Functions 5 min read Recursion in Python 6 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 5 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like