numpy.isinf() in Python

About :
numpy.isinf(array [, out]) : Test element-wise whether it is +ve or -ve infinity or not return the result as a boolean array.
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 :



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# 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)) 

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Output :

Finite :  False 

Finite :  False 

Finite :  False 

Finite :  True 

Finite :  True 

Checking for infinity :  [1 0 1]

Code 2 :

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# 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 Infifnity : \n", geek.isinf(b))
  
# geek.inf  : Positive Infinity
# geek.NINF : negative Infinity
b = [[geek.inf], 
     [geek.NINF]]
print("\nIs Infifnity : \n", geek.isinf(b))

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Output :


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

Is Infifnity : 
 [[False False False False]
 [False False False False]]

Is Infifnity : 
 [[ 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-ID. Please run them on your systems to explore the working.
.
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