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

Python `

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 `

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.