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numpy.isinf() in Python

The numpy.isinf() function tests element-wise whether it is +ve or -ve infinity or not return the result as a boolean array. 

Syntax: numpy.isinf(array [, out])

Parameters :  

array : [array_like]Input array or object whose 
         elements, we need to test for  infinity
out   : [ndarray, optional]Output array placed 
        with result. Its type is preserved and
        it  must be of the right shape to hold 
         the output.

Return :  

boolean array containing the result. For scalar 
input, the result is a new boolean with value
True if the input is positive or negative infinity; 
otherwise the value is False. For array input, the 
result is a boolean array with the same shape as 
the input and the values are True where the 
corresponding element of the input is positive
or negative infinity; elsewhere the values are False.

Code 1 :  

Python




# Python Program illustrating
# numpy.isinf() method
  
import numpy as geek
 
print("Finite : ", geek.isinf(1), "\n")
 
print("Finite : ", geek.isinf(0), "\n")
 
# not a number
print("Finite : ", geek.isinf(geek.nan), "\n")
 
#  infinity
print("Finite : ", geek.isinf(geek.inf), "\n")
 
print("Finite : ", geek.isinf(geek.NINF), "\n")
 
x = geek.array([-geek.inf, 0., geek.inf])
y = geek.array([2, 2, 2])
print("Checking for infinity : ", geek.isinf(x, y))


Output : 

Finite :  False 

Finite :  False 

Finite :  False 

Finite :  True 

Finite :  True 

Checking for infinity :  [1 0 1]

Code 2 : 

Python




# Python Program illustrating
# numpy.isinf() method
   
import numpy as geek
  
# Returns True/False value for each element
b = geek.arange(8).reshape(2, 4)
                
print("\n",b)
print("\nIs Infinity : \n", geek.isinf(b))
 
# geek.inf  : Positive Infinity
# geek.NINF : negative Infinity
b = [[geek.inf],
     [geek.NINF]]
print("\nIs Infinity : \n", geek.isinf(b))


Output : 

 [[0 1 2 3]
 [4 5 6 7]]

Is Infinity : 
 [[False False False False]
 [False False False False]]

Is Infinity : 
 [[ True]
 [ True]]

References : 
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.isinf.html#numpy.isinf

Note : 
These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.
 
This article is contributed by Mohit Gupta_OMG 😀. If you like Lazyroar and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the Lazyroar main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
 

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