numpy.logical_not () in Python



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
# logic_not () function

import numpy as np

 
# login

arr1 = [ 1 , 3 , False , 4 ]

arr2 = [ 3 , 0 , True , False ]

 
# exit

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: Mo can check status

# Python program explaining
# logic_not () function

import numpy as np

 
# login

arr1 = np.arange ( 8 )

 
# Applying condition

print ( "Output:" , arr1 / 4 )

 
# exit

out_arr1 = np.logical_not (arr1 / 4 = = 0 )

 

print ( " Boolean Output: " , 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]  

Links:
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.logical_not.html#numpy.logical_not
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