I have a one-dimensional NumPy array that consists of zeroes and ones like so:
array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
I'd like a quick way to just "flip" the values such that zeroes become ones, and ones become zeroes, resulting in a NumPy array like this:
array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
Is there an easy one-liner for this? I looked at the fliplr()
function, but this seems to require NumPy arrays of dimensions two or greater. I'm sure there's a fairly simple answer, but any help would be appreciated.
There must be something in your Q that i do not understand...
Anyway
In [2]: from numpy import array
In [3]: a = array((1,0,0,1,1,0,0))
In [4]: b = 1-a
In [5]: print a ; print b
[1 0 0 1 1 0 0]
[0 1 1 0 0 1 1]
In [6]:
A sign that you should probably be using a boolean datatype
a = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=np.bool)
# or
b = ~a
b = np.logical_not(a)
another superfluous option:
numpy.logical_not(a).astype(int)
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