numpy.invert() in Python

This tutorial focuses on the invert() function from the NumPy module of Python.

In numpy.invert() function, the function returns the bit-wise inversion of each element present in an array. In other words, we can say we can compute the bit-wise NOT of the binary representation of each element present in the array. It also returns the two’s complements for the signed integer.

Working of numpy.invert()

CASE 1:

Suppose, we have number 10 and we want its bitwise inversion. The binary form of 10 is 00001010 and after the inversion of each bit, it results in 11110101 which is number -11.
As we know the binary of number 11 is 00001011. We will now find its two’s complement. The two’s complement of 11 will result in -11 which is the same as the bitwise inversion of the number 10.

Python code for the above explanation:

import numpy as np 
num = 10    
rrsult = np.invert(num)  
print ("inversion of 10 : ", result)

Output:

inversion of 10 : -11

CASE 2:

In numpy.invert() function we can also pass an array of numbers which will result in bitwise inversion of each element present in the array.

Code for the above statement –

import numpy as np
  
lst = [3, 10, 21] 
res_lst = np.invert(lst)  
print ("Output list after inversion: ", res_lst)

Output:

Output list after inversion:  [ -4  -11 -22]

In the above code, the list of numbers is passed in the function and the function returned bitwise NOT of each number and we stored the result in “res_lst”.

CASE 3:

numpy.invert() functions also invert the boolean expression i.e if the input if true then the function will return false and if the input is false the function will return a true value.

Code for the above statement:

import numpy as np
  
lst = [True, False]     
res_lst = np.invert(lst)  
print ("Output list after inversion: ", res_lst)

Output:

Output list after inversion:  [False  True]

Hence we understood how numpy.invert() function works and where it is used.