numpy.extract() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.extract() function returns elements of input_array if they satisfy some specified condition. Syntax: numpy.extract(condition, array) Parameters : array : Input array. User apply conditions on input_array elements condition : [array_like]Condition on the basis of which user extract elements. Applying condition on input_array, if we print condition, it will return an array filled with either True or False. Array elements are extracted from the Indices having True value. Returns : Array elements that satisfy the condition. Python # Python Program illustrating # numpy.compress method import numpy as geek array = geek.arange(10).reshape(5, 2) print("Original array : \n", array) a = geek.mod(array, 4) !=0 # This will show element status of satisfying condition print("\nArray Condition a : \n", a) # This will return elements that satisfy condition "a" condition print("\nElements that satisfy condition a : \n", geek.extract(a, array)) b = array - 4 == 1 # This will show element status of satisfying condition print("\nArray Condition b : \n", b) # This will return elements that satisfy condition "b" condition print("\nElements that satisfy condition b : \n", geek.extract(b, array)) Output : Original array : [[0 1] [2 3] [4 5] [6 7] [8 9]] Array Condition a : [[False True] [ True True] [False True] [ True True] [False True]] Elements that satisfy condition a : [1 2 3 5 6 7 9] Array Condition b : [[False False] [False False] [False True] [False False] [False False]] Elements that satisfy condition b : [5] Note : Also, these codes won't run on online IDE's. So please, run them on your systems to explore the working. Comment More info M Mohit Gupta Improve Article Tags : Python Python-numpy Python numpy-Sorting Searching 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 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 6 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 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