Invert binary numpy array

Question

is there a kind of "logical no" for numpy arrays (of numbers of course).

For example, consider this array: x = [1,0,1,0,0,1]

i am looking for an easy way to compute its "inverse" y = [0,1,0,1,1,0]

Answer 1

For an array of 1s and 0s you can simply subtract the values in x from 1:

x = np.array([1,0,1,0,0,1])
1-x
# array([0, 1, 0, 1, 1, 0])

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Or you could also take the bitwise XOR of the binary values in x with 1:

x^1 
# array([0, 1, 0, 1, 1, 0])

Answer 2

Yes, you can use np.logical_not:

np.logical_not(x).astype(int)

Output:

array([0, 1, 0, 1, 1, 0])