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

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# 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)

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Output :

Output Array 1 :  [False False  True False]
Output Array 2 :  [False  True False  True]

 
Code 2 : Can check condition

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# 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)

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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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