The numpy.isneginf() function tests element-wise whether it is negative infinity or not, and returns the result as a boolean array.
numpy.isneginf(array, y = None)
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.
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 :
Negative : False Negative : False Negative : False Negative : False Negative : True Checking for negativity : [1 0 0]
Code 2 :
[[ 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]]
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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