In this tutorial, we will look at how to check if a value in a Numpy array is infinity (positive or negative) with the help of some examples.
How to test for infinity in a Numpy array?
You can use the
numpy.isinf() function to check (element-wise) if values in a Numpy array are infinity or not. The following is the syntax –
# test for infinity - pass scaler value or numpy array np.isinf(a)
It returns a boolean value (
True if the value is positive or negative infinity otherwise
False) if you pass a scaler value and a 1-D boolean array if you pass an array.
Let’s now look at some examples of using the above function to test for infinity.
Example 1 – Check if a number is an infinity or not using
First, let’s pass scaler values to the
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.isinf() 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 infinity print(np.isinf(a)) print(np.isinf(b)) print(np.isinf(c))
False True True
False as the output for the scaler value
True as the output for both the positive and the negative infinity values.
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Example 2 – Element-wise check for infinity in a Numpy array using
If you apply the
numpy.isinf() function on an array, it will return a boolean array containing
True for values that are infinity and
False for finite values.
Let’s create a 1-D array and apply the
numpy.isinf() function to it.
# create a numpy array ar = np.array([1, 2, np.inf, 4, 5, -np.inf, np.inf]) # check for infinity in ar np.isinf(ar)
array([False, False, True, False, False, True, 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 infinity in the original array.
In this tutorial, we looked at how we can use the
numpy.isinf() function to check for infinity (both positive and negative infinities) 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 –
- Numpy – Select Random Elements From Array
- Check If Two Numpy Arrays are Equal
- Numpy – Count Values Between a Given Range
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