Skip to content

Courses
Tutorials
Practice
Contests

Numpy exercise
pandas
Matplotlib
Data visulisation
EDA
Machin Learning
Deep Learning
NLP
Data science
ML Tutorial
Computer Vision
ML project

NumPy| How to get the unique elements of an Array

How to check whether the elements of a given NumPy array is non-zero?

Last Updated : 29 Aug, 2020

Comments

Improve

Suggest changes

Like Article

Like

Report

In NumPy with the help of any() function, we can check whether any of the elements of a given array in NumPy is non-zero. We will pass an array in the any() function if it returns true then any of the element of the array is non zero if it returns false then all the elements of the array are zero.

Syntax: numpy.any()

Parameter :An array.

Return :It return boolean value(True/False).

Example 1:

Python

import numpy as np 
  
  
# Original array 
array = np.array([4,6,0,0,0,4,89]) 
print(x) 
  
# Test whether any of the elements 
# of a given array is non-zero 
print(np.any(array)) 

Output:

True

Example 2:

Python

import numpy as np 
  
# Original array 
array = np.array([0,0,0,0,0,0]) 
print(x) 
  
# Test whether any of the elements 
# of a given array is non-zero 
print(np.any(array))

Output:

False

NumPy| How to get the unique elements of an Array

vipinyadav15799

Improve

Article Tags :

Python
Python numpy-arrayManipulation
Python-numpy

Practice Tags :

python

Similar Reads

Test whether the elements of a given NumPy array is zero or not in Python

In numpy, we can check that whether none of the elements of given array is zero or not with the help of numpy.all() function. In this function pass an array as parameter. If any of one element of the passed array is zero then it returns False otherwise it returns True boolean value. Syntax: numpy.al

NumPy| How to get the unique elements of an Array

To find unique elements of an array we use the numpy.unique() method of the NumPy library in Python. It returns unique elements in a new sorted array. Example: [GFGTABS] Python3 import numpy as np arr = np.array([1, 2, 3, 1, 4, 5, 2, 5]) unique_elements = np.unique(arr) print(unique_elements) [/GFGT

Find the length of each string element in the Numpy array

NumPy builds on (and is a successor to) the successful Numeric array object. Its goal is to create the corner-stone for a useful environment for scientific computing. NumPy provides two fundamental objects: an N-dimensional array object (ndarray) and a universal function object (ufunc). In this post

Find indices of elements equal to zero in a NumPy array

Sometimes we need to find out the indices of all null elements in the array. Numpy provides many functions to compute indices of all null elements.Â Method 1: Finding indices of null elements using numpy.where() This function returns the indices of elements in an input array where the given conditio

How to invert the elements of a boolean array in Python?

Given a boolean array the task here is to invert its elements. A boolean array is an array which contains only boolean values like True or False, 1 or 0.Â Input : A=[true , true , false] Output: A= [false , false , true] Input: A=[0,1,0,1]Â Output: A=[1,0,1,0] Method 1: You can use simple if else me

How to Create Array of zeros using Numpy in Python

numpy.zeros() function is the primary method for creating an array of zeros in NumPy. It requires the shape of the array as an argument, which can be a single integer for a one-dimensional array or a tuple for multi-dimensional arrays. This method is significant because it provides a fast and memory

How to calculate the element-wise absolute value of NumPy array?

Let's see the program for finding the element-wise absolute value of NumPy array. For doing this task we are using numpy.absolute() function of NumPy library. This mathematical function helps to calculate the absolute value of each element in the array. Syntax: numpy.absolute(arr, out = None, ufunc

Counting the number of non-NaN elements in a NumPy Array

In this article, we are going to see how to count the number of non-NaN elements in a NumPy array in Python. NAN: It is used when you don't care what the value is at that position. Maybe sometimes is used in place of missing data, or corrupted data.Â Method 1: Using Condition In this example, we wil

Check whether a Numpy array contains a specified row

In this article we will learn about checking a specified row is in NumPy array or not. If the given list is present in a NumPy array as a row then the output is True else False. The list is present in a NumPy array means any row of that numpy array matches with the given list with all elements in gi

How to remove NaN values from a given NumPy array?

In this article, we are going to learn how to remove Nan values from a given array. Nan values are those values that do not have a specific value associated with them or they are different from the type of values that are to be used in the declared array. There are basically three approaches with sl

Corporate & Communications Address:

A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)

Registered Address:

K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305

Advertise with us

Company
About Us
Legal
Privacy Policy
In Media
Contact Us
Advertise with us
GFG Corporate Solution
Placement Training Program

Languages
Python
Java
C++
PHP
GoLang
SQL
R Language
Android Tutorial
Tutorials Archive

DSA
Data Structures
Algorithms
DSA for Beginners
Basic DSA Problems
DSA Roadmap
Top 100 DSA Interview Problems
DSA Roadmap by Sandeep Jain
All Cheat Sheets

Data Science & ML
Data Science With Python
Data Science For Beginner
Machine Learning
ML Maths
Data Visualisation
Pandas
NumPy
NLP
Deep Learning

Web Technologies
HTML
CSS
JavaScript
TypeScript
ReactJS
NextJS
Bootstrap
Web Design

Python Tutorial
Python Programming Examples
Python Projects
Python Tkinter
Python Web Scraping
OpenCV Tutorial
Python Interview Question
Django

Computer Science
Operating Systems
Computer Network
Database Management System
Software Engineering
Digital Logic Design
Engineering Maths
Software Development
Software Testing

DevOps
Git
Linux
AWS
Docker
Kubernetes
Azure
GCP
DevOps Roadmap

System Design
High Level Design
Low Level Design
UML Diagrams
Interview Guide
Design Patterns
OOAD
System Design Bootcamp
Interview Questions

Inteview Preparation
Competitive Programming
Top DS or Algo for CP
Company-Wise Recruitment Process
Company-Wise Preparation
Aptitude Preparation
Puzzles

School Subjects
Mathematics
Physics
Chemistry
Biology
Social Science
English Grammar
Commerce
World GK

GeeksforGeeks Videos
DSA
Python
Java
C++
Web Development
Data Science
CS Subjects

@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved

We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy

Improvement

Suggest Changes

Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.

geeksforgeeks-suggest-icon

Create Improvement

Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.

geeksforgeeks-improvement-icon

Suggest Changes

min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences

Admission Experiences

Career Journeys

Work Experiences

Campus Experiences

Competitive Exam Experiences