numpy array IndexError: 'index out of bound' when a mask is inverted or negated

Question

I have 2 arrays one is mask and the other is the labels:

Both arrays have the same shape:

(Pdb) L.shape
(178, 201, 101)
(Pdb) MASK.shape
(178, 201, 101)

when it reaches to this line:

L[~MASK] = 0 
IndexError: 'index 255 is out of bounds for axis 0 with size 178'

it shows an error that I could not find any reason for that. Could you please help me with this?

fountainhead · Accepted Answer · 2019-03-16 08:57:30Z

1

Try:

L[np.logical_not(MASK)]

The ~ (tilde) operator you are using is a bitwise complement operator, not a logical negation operator.

answered Mar 16, 2019 at 8:57

fountainhead

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