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# numpy.isposinf () in Python

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

Exit:

` Positive: False Positive: False Positive: False Positive: True Positive: False Checking for positivity: [0 0 1] `

Code 2:

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

Output:

` [[0 1 2 3 4 5] [6 7 8 9 10 11] [12 13 14 15 16 17]] Is Positive Infifnity: [[False False False False False False] [False False False False False False ] [False False False False False False]] Is Positive Infifnity: [[True] [False]] `

< a href = https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.isposinf.html#numpy.isposinf> https://docs.scipy.org/doc/numpy-dev/reference /generated/numpy.isposinf.html#numpy.isposinf

Notes:
These codes will not work for online IDs. Please run them on your systems to see how they work.
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