# numpy.logical_not() in Python

numpy.logical_not(arr, out=None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘logical_not’) : This is a logical function that computes the truth value of NOT arr element-wise. Parameters :
arr1 : [array_like]Input array. out : [ndarray, optional]Output array with same dimensions as Input array, placed with result. **kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.
Return :
```An array with Boolean results of NOT arr (element-wise).
```
Code 1 : Working
 `# Python program explaining ``# logical_not() function ``import` `numpy as np `` ` `# input ``arr1 ``=` `[``1``, ``3``, ``False``, ``4``] ``arr2 ``=` `[``3``, ``0``, ``True``, ``False``] `` ` `# output ``out_arr1 ``=` `np.logical_not(arr1) ``out_arr2 ``=` `np.logical_not(arr2) `` ` `print` `(``"Output Array 1 : "``, out_arr1) ``print` `(``"Output Array 2 : "``, out_arr2) `

Output :
```Output Array 1 :  [False False  True False]
Output Array 2 :  [False  True False  True]
```
Code 2 : Can check condition
 `# Python program explaining ``# logical_not() function ``import` `numpy as np `` ` `# input ``arr1 ``=` `np.arange(``8``) `` ` `# Applying Condition  ``print` `(``"Output : \n"``, arr1``/``4``) `` ` `# output ``out_arr1 ``=` `np.logical_not(arr1``/``4` `=``=` `0``) `` ` `print` `(``"\n Boolean Output : \n"``, out_arr1) `

Output :
```Output :
[ 0.    0.25  0.5   0.75  1.    1.25  1.5   1.75]

Boolean Output :
[False  True  True  True  True  True  True  True]```
References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.logical_not.html#numpy.logical_not .

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