numpy.invert() function is used to Compute the bit-wise Inversion of an array element-wise. It computes the bit-wise NOT of the underlying binary representation of the integers in the input arrays.
For signed integer inputs, the two’s complement is returned. In a two’s-complement system negative numbers are represented by the two’s complement of the absolute value.
Syntax : numpy.invert(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘invert’)
x : [array_like] Input array.
out : [ndarray, optional] A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.
**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 : [ndarray or scalar] Result. This is a scalar if x is scalar.
Code #1 : Working
Input number : 10 inversion of 10 : -11
Code #2 :
Input array : [2, 0, 25] Output array after inversion: [ -3 -1 -26]
Code #3 :
Input array : [True, False] Output array after inversion: [False True]
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.