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
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