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# numpy.not_equal () in Python

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numpy.not_equal (x1, x2 [, out]): checks if two elements are unequal or not.
Parameters:

`  x1, x2:  [array_like] Input Array whose elements we want to check  out:  [ndarray, optional] Output array that returns True / False. A placeholder the same shape as x1 to store the result. `

Return:

` Boolean array `

Code 1:

 ` # Python program illustrating ` ` # numpy.not_equal () method `   ` import ` ` numpy as geek `   ` a ` ` = ` ` geek.not_equal ([` ` 1. ` `, ` ` 2. ` `], [` ` 1. ` `, ` ` 3. ` `]) ` ` print ` ` (` ` "Not equal:" ` `, a, ` < code class = "string"> "" `) `   ` b ` ` = ` ` geek.not_equal ([` ` 1 ` `, ` ` 2 ` `], [[` ` 1 ` `, ` ` 3 ` `], [` ` 1 ` `, ` ` 4 ` `]]) ` ` print ` ` (` ` "Not equal:" ` `, b, ` ` "" ` `) `

Output:

` Not equal: [False True] Not equal: [[False True] [False True]] `

Code 2:

 ` # Python program illustrating ` ` # numpy.not_equal () method `   ` import ` ` numpy as geek ` ` `  ` # Here we compare complex values ​​with int ` ` a ` ` = ` ` geek.array ([` ` 0 ` ` + ` ` 1j ` `, ` ` 2 ` `]) ` ` b ` ` = ` ` geek.array ([` ` 1 ` `, ` ` 2 ` `]) `   ` d ` ` = ` ` geek.not_equal (a, b) ` ` print ` ` (` ` "Comparing complex with int using .not_equal ():" ` `, d) `

Output:

` Comparing complex with int using .not_equal (): [True False] `

Code 3:

` `

` # Python program illustrating # numpy.not_equal () method   import numpy as geek    # Here we compare Float with int values ​​ a = geek.array ([ 1.1 , 1 ]) b = geek.array ([ 1 , 2 ])    d  = geek.not_equal (a , b) print ( "Comparing float with int using .not_equal (): " , d) `

` `

Output:

` Comparing float with int using .not_equal (): [True True] `

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

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