numpy.logical_not() in Python
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)
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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)
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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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