Change the values of a NumPy array that are NOT in a list of indices

I don't know of a clean way to do something like this:

mask = np.ones(a.shape,dtype=bool) #np.ones_like(a,dtype=bool)
mask[indices] = False
a[~mask] = 999
a[mask] = 888

Of course, if you prefer to use the numpy data-type, you could use dtype=np.bool_ -- There won't be any difference in the output. it's just a matter of preference really.

Only works for 1d arrays:

a = np.arange(30)
indices = [2, 3, 4]

ia = np.indices(a.shape)

not_indices = np.setxor1d(ia, indices)
a[not_indices] = 888