About:
numpy.isinf (array [, out]): Check element by element if it is infinite + ve or -ve, or return a result as a logical 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:

# Python program illustrating # numpy.isinf () method   import numpy as geek     print ( "Finite:" , geek.isinf ( 1 ), "" )   print ( "Finite:" , geek.isinf ( 0 ), "" )   # not a number print ( "Finite:" , geek.isinf (geek.nan), "" )   # infinity print ( "Finite:" , geek.isinf (geek. inf), "" )   print ( "Finite:" , geek.isinf (geek.NINF), "" )    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 program illustrating # numpy.isinf () method    import numpy as geek    # Returns True / False for each element b = geek.arange ( 8 ). reshape ( 2 , 4 )   print ( " " , b) print ( "Is Infifnity:" , geek.isinf (b) )   # geek.inf: Positive infinity # geek.NINF: negative infinity b = [[geek.inf],  [geek.NINF]] print ( " Is Infifnity: " , geek.isinf (b))

Output:

 [[0 1 2 3] [4 5 6 7]] Is Infifnity: [[ False False False False] [False False False False]] Is Infifnity: [[True] [True]] 

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

< strong> Notes:
These codes will not work for online IDs. Please run them on your systems to see how they work. 
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This article is provided by Mohit Gupta_OMG