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 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 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
.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.