# numpy.isneginf () in Python

NumPy | Python Methods and Functions

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

Exit:

` Negative: False Negative: False Negative: False Negative: False Negative: True Checking for negativity: [1 0 0] `

Code 2:

 ` # Python program illustrating ` ` # numpy.isneginf () method `   ` import ` ` numpy as geek `   ` # Returns True / False for each element ` ` b ` ` = ` ` geek.arange (` ` 18 ` `). reshape (` ` 3 ` `, ` ` 6 ` `) `   ` print ` ` (` `" "` `, b) ` ` print ` ` (` `" Is Negat ive Infifnity: "` `, geek.isneginf (b)) ` ` `  ` # geek.inf: Positive infinity ` ` # geek.NINF: Negative infinity ` ` b ` ` = ` ` [[geek.inf], ` ` [geek.NINF]] ` ` print ` ` (` ` "Is Negative Infifnity:" ` `, geek.isneginf (b) ) `

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]] `

Notes:
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