numpy.logical_not() in Python (original) (raw)

Last Updated : 29 Nov, 2018

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

import numpy as np

arr1 = [ 1 , 3 , False , 4 ]

arr2 = [ 3 , 0 , True , False ]

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

import numpy as np

arr1 = np.arange( 8 )

print ( "Output : \n" , arr1 / 4 )

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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