numpy.isneginf() in Python

About :
numpy.isneginf(array, y = None) : Test element-wise whether it is negative 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.
y     : [array_like]A boolean array with the same shape and type as x to store the result.

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

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Output : 


Negative :  False 

Negative :  False 

Negative :  False 

Negative :  False 

Negative :  True 

Checking for negativity :  [1 0 0]



Code 2 : 











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# Python Program illustrating 


# numpy.isneginf() method 


    


import numpy as geek  


   


# Returns True/False value for each element  


b = geek.arange(18).reshape(3, 6) 


                 


print("\n",b) 


print("\nIs Negative Infifnity : \n", geek.isneginf(b)) 


  


# geek.inf  : Positive Infinity 


# geek.NINF : negative Infinity 


b = [[geek.inf],  


     [geek.NINF]] 


print("\nIs Negative Infifnity : \n", geek.isneginf(b)) 



















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Output : 



 [[ 0  1  2  3  4  5]
 [ 6  7  8  9 10 11]
 [12 13 14 15 16 17]]

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

Is Negative Infifnity : 
 [[False]
 [ True]]


References : 

https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.isneginf.html


Note : 

These codes won’t run on online-ID. Please run them on your systems to explore the working.

.

This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.


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