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?
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 np.isposinf(a)
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
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.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 print(np.isposinf(a)) print(np.isposinf(b)) print(np.isposinf(c))
False True False
True as the output for the positive infinity and
False as the output for the finite number and the negative infinity.
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Example 2 – Element-wise check for positive infinity in a Numpy array using
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 np.isposinf(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 –
- Numpy – Check If Element is an Infinity (Positive or Negative) or Not
- Check If Two Numpy Arrays are Equal
- Numpy – Count Values Between a Given Range
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