numpy.logical_not() in Python

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.

An array with Boolean results of NOT arr (element-wise).  

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

# 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 : 
 [ 0.    0.25  0.5   0.75  1.    1.25  1.5   1.75]

 Boolean Output : 
 [False  True  True  True  True  True  True  True]