numpy.clip() in Python Last Updated : 29 Nov, 2018 Comments Improve Suggest changes Like Article Like Report numpy.clip() function is used to Clip (limit) the values in an array. Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values larger than 1 become 1. Syntax : numpy.clip(a, a_min, a_max, out=None) Parameters : a : Array containing elements to clip. a_min : Minimum value. --> If None, clipping is not performed on lower interval edge. Not more than one of a_min and a_max may be None. a_max : Maximum value. --> If None, clipping is not performed on upper interval edge. Not more than one of a_min and a_max may be None. --> If a_min or a_max are array_like, then the three arrays will be broadcasted to match their shapes. out : Results will be placed in this array. It may be the input array for in-place clipping. out must be of the right shape to hold the output. Its type is preserved. Return : clipped_array Code #1 : Python3 # Python3 code demonstrate clip() function # importing the numpy import numpy as np in_array = [1, 2, 3, 4, 5, 6, 7, 8 ] print ("Input array : ", in_array) out_array = np.clip(in_array, a_min = 2, a_max = 6) print ("Output array : ", out_array) Output : Input array : [1, 2, 3, 4, 5, 6, 7, 8] Output array : [2 2 3 4 5 6 6 6] Code #2 : Python3 # Python3 code demonstrate clip() function # importing the numpy import numpy as np in_array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] print ("Input array : ", in_array) out_array = np.clip(in_array, a_min =[3, 4, 1, 1, 1, 4, 4, 4, 4, 4], a_max = 9) print ("Output array : ", out_array) Output : Input array : [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] Output array : [3 4 3 4 5 6 7 8 9 9] Comment More info J jana_sayantan 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