numpy.isneginf() in Python
                                        
                                                                                    
                                                
                                                    Last Updated : 
                                                    08 Mar, 2024
                                                
                                                 
                                                 
                                             
                                                                             
                                                             
                            
                            
                                                                                    
                
The numpy.isneginf() function tests element-wise whether it is negative infinity or not, and returns the result as a boolean array. 
Syntax :  
numpy.isneginf(array, y = None)
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 : 
            Python
    # 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)) 
Output : 
Negative :  False 
Negative :  False 
Negative :  False 
Negative :  False 
Negative :  True 
Checking for negativity :  [1 0 0]
Code 2 : 
            Python
    # 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 Infinity : \n", geek.isneginf(b))
# geek.inf  : Positive Infinity
# geek.NINF : negative Infinity
b = [[geek.inf], 
     [geek.NINF]]
print("\nIs Negative Infinity : \n", geek.isneginf(b))
Output : 
 [[ 0  1  2  3  4  5]
 [ 6  7  8  9 10 11]
 [12 13 14 15 16 17]]
Is Negative Infinity : 
 [[False False False False False False]
 [False False False False False False]
 [False False False False False False]]
Is Negative Infinity : 
 [[False]
 [ True]]
Note : 
These codes won't run on online IDE's. So please, run them on your systems to explore the working.
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