Skip to Content

Numpy – Check for Positive Infinity

In this tutorial, we will look at how to check if a value in a Numpy array is positive infinity or not with the help of some examples.

How to test for positive infinity in a Numpy array?

numpy check for positive infinity

You can use the numpy.isposinf() function to check (element-wise) if values in a Numpy array are positive infinity or not. The following is the syntax –

# test for positive infinity - pass scaler value or numpy array

It returns a boolean value (True if the value is positive infinity otherwise False) if you pass a scaler value and a boolean array if you pass an array.


Let’s now look at some examples of using the above function to test for +ve infinity.

Example 1 – Check if a number is a positive infinity or not using numpy.isposinf()

First, let’s pass scaler values to the numpy.isposinf() function.

Highlighted programs for you

Flatiron School

Flatiron School

Data Science Bootcamp
Product Design UX/UI Bootcamp

University of Maryland Global Campus

University of Maryland Global Campus

Cloud Computing Systems Master's
Digital Forensics & Cyber Investigation Master's

Creighton University

Creighton University

Health Informatics Master's

Let’s create three variables – one containing a finite value and the others set to positive and negative infinity respectively and then apply the numpy.isposinf() function on each of these values.

import numpy as np

# create three variables with scaler values
a = 21
b = np.inf
c = -np.inf

# check for positive infinity



We get True as the output for the positive infinity and False as the output for the finite number and the negative infinity.

Example 2 – Element-wise check for positive infinity in a Numpy array using numpy.isposinf()

If you apply the numpy.isposinf() function on an array, it will return a boolean array containing True for values that are positive infinity and False for other values.

Let’s create a 1-D array and apply the numpy.isposinf() function to it.

# create a numpy array
ar = np.array([1, 2, np.inf, 4, 5, -np.inf, np.inf])
# check for positive infinity in ar


array([False, False,  True, False, False, False,  True])

We get a boolean array as an output. You can see that in the boolean array we get True for only the values that test as positive infinity in the original array.


In this tutorial, we looked at how we can use the numpy.isposinf() function to check for positive infinity in a Numpy array. Keep in mind that if you pass a scaler value, it returns a boolean value and if you pass a 1-D array it returns a boolean array.

You might also be interested in –

Subscribe to our newsletter for more informative guides and tutorials.
We do not spam and you can opt out any time.


  • Piyush Raj

    Piyush is a data professional passionate about using data to understand things better and make informed decisions. He has experience working as a Data Scientist in the consulting domain and holds an engineering degree from IIT Roorkee. His hobbies include watching cricket, reading, and working on side projects.