numpy.ceil() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.ceil() is a mathematical function that returns the ceil of the elements of array. The ceil of the scalar x is the smallest integer i, such that i >= x Syntax : numpy.ceil(x[, out]) = ufunc ‘ceil’) Parameters : a : [array_like] Input array Return : The ceil of each element with float data-type. Code #1 : Working Python3 # Python program explaining # ceil() function import numpy as np in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1] print ("Input array : \n", in_array) ceiloff_values = np.ceil(in_array) print ("\nRounded values : \n", ceiloff_values) in_array = [.53, 1.54, .71] print ("\nInput array : \n", in_array) ceiloff_values = np.ceil(in_array) print ("\nRounded values : \n", ceiloff_values) in_array = [.5538, 1.33354, .71445] print ("\nInput array : \n", in_array) ceiloff_values = np.ceil(in_array) print ("\nRounded values : \n", ceiloff_values) Output : Input array : [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values : [ 1. 2. 3. 4. 5. 11.] Input array : [0.53, 1.54, 0.71] Rounded values : [ 1. 2. 1.] Input array : [0.5538, 1.33354, 0.71445] Rounded values : [ 1. 2. 1.] Code #2 : Working Python3 # Python program explaining # ceil() function import numpy as np in_array = [1.67, 4.5, 7, 9, 12] print ("Input array : \n", in_array) ceiloff_values = np.ceil(in_array) print ("\nRounded values : \n", ceiloff_values) in_array = [133.000, 344.54, 437.56, 44.9, 1.2] print ("\nInput array : \n", in_array) ceiloff_values = np.ceil(in_array) print ("\nRounded values upto 2: \n", ceiloff_values) Output : Input array : [1.67, 4.5, 7, 9, 12] Rounded values : [ 2. 5. 7. 9. 12.] Input array : [133.0, 344.54, 437.56, 44.9, 1.2] Rounded values upto 2: [ 133. 345. 438. 45. 2.] 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